Quantum differentially private sparse regression learning
Yuxuan Du
•
MinHsiu Hsieh
•
Tongliang Liu
•
Shan You
•
Dacheng Tao

20200723

Using local dynamics to explain analog forecasting of chaotic systems
P Platzer
•
P. Yiou
•
P. Naveau
•
P Tandeo
•
Y Zhen
•
P Ailliot
•
JF Filipot

20200722

Learning from Data to Speedup Sorted Table Search Procedures: Methodology and Practical Guidelines
Domenico Amato
•
Giosué Lo Bosco
•
Raffaele Giancarlo

20200720

Optimal Robust Linear Regression in Nearly Linear Time
Yeshwanth Cherapanamjeri
•
Efe Aras
•
Nilesh Tripuraneni
•
Michael I. Jordan
•
Nicolas Flammarion
•
Peter L. Bartlett

20200716

Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques
Prasannavenkatesan Theerthagiri

20200715

An Uncertaintybased Humanintheloop System for Industrial Tool Wear Analysis
Alexander Treiss
•
Jannis Walk
•
Niklas Kühl

20200714

A spectral algorithm for robust regression with subgaussian rates
Jules Depersin

20200712

Federated Learning's Blessing: FedAvg has Linear Speedup
Zhaonan Qu
•
Kaixiang Lin
•
Jayant Kalagnanam
•
Zhaojian Li
•
Jiayu Zhou
•
Zhengyuan Zhou

20200711

Differentially Private Simple Linear Regression
Daniel Alabi
•
Audra McMillan
•
Jayshree Sarathy
•
Adam Smith
•
Salil Vadhan

20200710

Robust Geodesic Regression

HaYoung Shin
•
HeeSeok Oh

20200709

Coded Computing for Federated Learning at the Edge
Saurav Prakash
•
Sagar Dhakal
•
Mustafa Akdeniz
•
A. Salman Avestimehr
•
Nageen Himayat

20200707

Piecewise Linear Regression via a Difference of Convex Functions

Ali Siahkamari
•
Aditya Gangrade
•
Brian Kulis
•
Venkatesh Saligrama

20200705

Coded Distributed Computing with Partial Recovery
Emre Ozfatura
•
Sennur Ulukus
•
Deniz Gunduz

20200704

Partial Trace Regression and LowRank Kraus Decomposition
Hachem Kadri
•
Stéphane Ayache
•
Riikka Huusari
•
Alain Rakotomamonjy
•
Liva Ralaivola

20200702

Efficient computation and analysis of distributional Shapley values
Yongchan Kwon
•
Manuel A. Rivas
•
James Zou

20200702

Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
Mert Gürbüzbalaban
•
Xuefeng Gao
•
Yuanhan Hu
•
Lingjiong Zhu

20200701

Online Robust Regression via SGD on the l1 loss
Scott Pesme
•
Nicolas Flammarion

20200701

Robust Linear Regression: Optimal Rates in Polynomial Time
Ainesh Bakshi
•
Adarsh Prasad

20200629

STORM: Foundations of EndtoEnd Empirical Risk Minimization on the Edge
Benjamin Coleman
•
Gaurav Gupta
•
John Chen
•
Anshumali Shrivastava

20200625

Active Online Domain Adaptation
Yining Chen
•
Haipeng Luo
•
Tengyu Ma
•
Chicheng Zhang

20200625

DistributionallyRobust Machine Learning Using Locally DifferentiallyPrivate Data
Farhad Farokhi

20200624

The Macroeconomy as a Random Forest
Philippe Goulet Coulombe

20200623

Statistical Mechanics of Generalization in Kernel Regression

Abdulkadir Canatar
•
Blake Bordelon
•
Cengiz Pehlevan

20200623

Exact Support Recovery in Federated Regression with Oneshot Communication
Adarsh Barik
•
Jean Honorio

20200622

Learned UncertaintyAware (LUNA) Bases for Bayesian Regression using MultiHeaded Auxiliary Networks
Sujay Thakur
•
Cooper Lorsung
•
Yaniv Yacoby
•
Finale DoshiVelez
•
Weiwei Pan

20200621

Transfer Learning for Highdimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai Li
•
T. Tony Cai
•
Hongzhe Li

20200618

Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Guy Bresler
•
Prateek Jain
•
Dheeraj Nagaraj
•
Praneeth Netrapalli
•
Xian Wu

20200616

The Reflectron: Exploiting geometry for learning generalized linear models
Nicholas M. Boffi
•
JeanJacques E. Slotine

20200615

The Statistical Cost of Robust Kernel Hyperparameter Tuning
Raphael A. Meyer
•
Christopher Musco

20200614

SubSeasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie He
•
Xinyan Li
•
Timothy DelSole
•
Pradeep Ravikumar
•
Arindam Banerjee

20200614

PACBayes unleashed: generalisation bounds with unbounded losses
Maxime Haddouche
•
Benjamin Guedj
•
Omar Rivasplata
•
John ShaweTaylor

20200612

Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
Yehuda Dar
•
Richard G. Baraniuk

20200612

Sparse recovery by reduced variance stochastic approximation
Anatoli Juditsky
•
Andrei Kulunchakov
•
Hlib Tsyntseus

20200611

Multiplicative noise and heavy tails in stochastic optimization
Liam Hodgkinson
•
Michael W. Mahoney

20200611

On Uniform Convergence and LowNorm Interpolation Learning
Lijia Zhou
•
D. J. Sutherland
•
Nathan Srebro

20200610

Distribution Regression for ContinuousTime Processes via the Expected Signature
Maud Lemercier
•
Cristopher Salvi
•
Theodoros Damoulas
•
Edwin V. Bonilla
•
Terry Lyons

20200610

Robust Grouped Variable Selection Using Distributionally Robust Optimization
Ruidi Chen
•
Ioannis Ch. Paschalidis

20200610

Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric
Ruidi Chen
•
Ioannis Ch. Paschalidis

20200610

Homomorphic Sensing of Subspace Arrangements
Liangzu Peng
•
Boshi Wang
•
Manolis C. Tsakiris

20200609

On the Minimax Optimality of the EM Algorithm for Learning TwoComponent Mixed Linear Regression
Jeongyeol Kwon
•
Nhat Ho
•
Constantine Caramanis

20200604

Inject Machine Learning into Significance Test for Misspecified Linear Models
Jiaye Teng
•
Yang Yuan

20200604

On lower bounds for the biasvariance tradeoff
Alexis Derumigny
•
Johannes SchmidtHieber

20200530

Robust estimation via generalized quasigradients
Banghua Zhu
•
Jiantao Jiao
•
Jacob Steinhardt

20200528

Learning How To Learn Within An LSMbased KeyValue Store
Yifan Dai
•
Yien Xu
•
Aishwarya Ganesan
•
Ramnatthan Alagappan
•
Brian Kroth
•
Andrea C. ArpaciDusseau
•
Remzi H. ArpaciDusseau

20200528

Review of Mathematical frameworks for Fairness in Machine Learning
Eustasio del Barrio
•
Paula Gordaliza
•
JeanMichel Loubes

20200526

Scalable penalized spatiotemporal landuse regression for groundlevel nitrogen dioxide
Kyle P Messier
•
Matthias Katzfuss

20200519

BLAZE: Blazing Fast PrivacyPreserving Machine Learning
Arpita Patra
•
Ajith Suresh

20200518

Nested Model Averaging on Solution Path for Highdimensional Linear Regression
Yang Feng
•
Qingfeng Liu

20200516

Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems
Preetum Nakkiran

20200515

A MultiVariate TripleRegression Forecasting Algorithm for LongTerm Customized Allergy Season Prediction
Xiaoyu Wu
•
David Borrelli
•
Zeyu Bai
•
Youzhi Liang

20200510

Automatic CrossDomain Transfer Learning for Linear Regression
Liu Xinshun
•
He Xin
•
Mao Hui
•
Liu Jing
•
Lai Weizhong
•
Ye Qingwen

20200508

A Locally Adaptive Interpretable Regression

Lkhagvadorj Munkhdalai
•
Tsendsuren Munkhdalai
•
Keun Ho Ryu

20200507

Prediction of Human Empathy based on EEG Cortical Asymmetry
Andrea Kuijt
•
Maryam Alimardani

20200506

OutlierRobust Clustering of NonSpherical Mixtures
Ainesh Bakshi
•
Pravesh Kothari

20200506

Onestep regression and classification with crosspoint resistive memory arrays
Zhong Sun
•
Giacomo Pedretti
•
Alessandro Bricalli
•
Daniele Ielmini

20200505

On the Generalization Effects of Linear Transformations in Data Augmentation

Sen Wu
•
Hongyang R. Zhang
•
Gregory Valiant
•
Christopher Ré

20200502

Generalization Error of Generalized Linear Models in High Dimensions

Melikasadat Emami
•
Mojtaba SahraeeArdakan
•
Parthe Pandit
•
Sundeep Rangan
•
Alyson K. Fletcher

20200501

Generalization Error for Linear Regression under Distributed Learning
Martin Hellkvist
•
Ayça Özçelikkale
•
Anders Ahlén

20200430

The Impact of the Minibatch Size on the Variance of Gradients in Stochastic Gradient Descent
Xin Qian
•
Diego Klabjan

20200427

ExpDNN: Explainable Deep Neural Network
ChiHua Chen

20200426

Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Xiaowei Yue
•
Yuchen Wen
•
Jeffrey H. Hunt
•
Jianjun Shi

20200423

Normalizing Flow Regression
Yonatan Woodbridge
•
Gal Elidan
•
Ami Wiesel

20200421

Utilizing Mask RCNN for Waterline Detection in Canoe Sprint Video Analysis
MarieSophie von Braun
•
Patrick Frenzel
•
Christian Käding
•
Mirco Fuchs

20200420

Learning Entangled SingleSample Distributions via Iterative Trimming
Hui Yuan
•
Yingyu Liang

20200420

Differentially Private Linear Regression over Fully Decentralized Datasets
Yang Liu
•
Xiong Zhang
•
Shuqi Qin
•
Xiaoping Lei

20200416

Secret Sharing based Secure Regressions with Applications
Chaochao Chen
•
Liang Li
•
Wenjing Fang
•
Jun Zhou
•
Li Wang
•
Lei Wang
•
Shuang Yang
•
Alex Liu
•
Hao Wang

20200410

Largescale spatiotemporal photonic reservoir computer for image classification
Piotr Antonik
•
Nicolas Marsal
•
Damien Rontani

20200406

Exploiting context dependence for image compression with upsampling
Jarek Duda

20200406

Using Machine Learning Approach for Computational Substructure in RealTime Hybrid Simulation
Elif Ecem Bas
•
Mohamed A. Moustafa
•
David FeilSeifer
•
Janelle Blankenburg

20200404

Variable fusion for Bayesian linear regression via spikeandslab priors
Shengyi Wu
•
Kaito Shimamura
•
Kohei Yoshikawa
•
Kazuaki Murayama
•
Shuichi Kawano

20200330

Obliviousness Makes Poisoning Adversaries Weaker
Sanjam Garg
•
Somesh Jha
•
Saeed Mahloujifar
•
Mohammad Mahmoody
•
Abhradeep Thakurta

20200326

Instance Credibility Inference for FewShot Learning

Yikai Wang
•
Chengming Xu
•
Chen Liu
•
Li Zhang
•
Yanwei Fu

20200326

Dimension Independent Generalization Error with Regularized Online Optimization
Xi Chen
•
Qiang Liu
•
Xin T. Tong

20200325

Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Sahin Lale
•
Kamyar Azizzadenesheli
•
Babak Hassibi
•
Anima Anandkumar

20200325

Analysis of Greenhouse Gases
Shalin Shah

20200321

Efficiently Calibrating CableDriven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks
Minho Hwang
•
Brijen Thananjeyan
•
Samuel Paradis
•
Daniel Seita
•
Jeffrey Ichnowski
•
Danyal Fer
•
Thomas Low
•
Ken Goldberg

20200319

Linear Regression without Correspondences via Concave Minimization
Liangzu Peng
•
Manolis C. Tsakiris

20200317

PoolBased Unsupervised Active Learning for Regression Using Iterative RepresentativenessDiversity Maximization (iRDM)
Ziang Liu
•
Xue Jiang
•
Hanbin Luo
•
Weili Fang
•
Jiajing Liu
•
Dongrui Wu

20200317

Improving predictions by nonlinear regression models from outlying input data
William W. Hsieh

20200317

Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models
Natalia Tomashenko
•
Yuri Khokhlov
•
Yannick Esteve

20200315

A Time Series Approach To Player Churn and Conversion in Videogames
Ana Fernández del Río
•
Anna Guitart
•
África Periáñez

20200313

ShortTerm Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
Kenneth Leerbeck
•
Peder Bacher
•
Rune Junker
•
Goran Goranović
•
Olivier Corradi
•
Razgar Ebrahimy
•
Anna Tveit
•
Henrik Madsen

20200310

Optimal Regularization Can Mitigate Double Descent
Preetum Nakkiran
•
Prayaag Venkat
•
Sham Kakade
•
Tengyu Ma

20200304

Weighted Encoding Based Image Interpolation With Nonlocal Linear Regression Model
Junchao Zhang

20200304

An InformationTheoretic Approach to Personalized Explainable Machine Learning
Alexander Jung
•
Pedro H. J. Nardelli

20200301

Optimal Feature Manipulation Attacks Against Linear Regression
Fuwei Li
•
Lifeng Lai
•
Shuguang Cui

20200229

Provable MetaLearning of Linear Representations
Nilesh Tripuraneni
•
Chi Jin
•
Michael I. Jordan

20200226

Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi Raghunathan
•
Sang Michael Xie
•
Fanny Yang
•
John Duchi
•
Percy Liang

20200225

A Sample Complexity Separation between NonConvex and Convex MetaLearning
Nikunj Saunshi
•
Yi Zhang
•
Mikhail Khodak
•
Sanjeev Arora

20200225

Learning From Strategic Agents: Accuracy, Improvement, and Causality
Yonadav Shavit
•
Benjamin Edelman
•
Brian Axelrod

20200224

Reparameterizing Mirror Descent as Gradient Descent
Ehsan Amid
•
Manfred K. Warmuth

20200224

Precise Tradeoffs in Adversarial Training for Linear Regression
Adel Javanmard
•
Mahdi Soltanolkotabi
•
Hamed Hassani

20200224

The Sample Complexity of Meta Sparse Regression
Zhanyu Wang
•
Jean Honorio

20200222

FewShot Learning via Learning the Representation, Provably
Simon S. Du
•
Wei Hu
•
Sham M. Kakade
•
Jason D. Lee
•
Qi Lei

20200221

Generalisation error in learning with random features and the hidden manifold model
Federica Gerace
•
Bruno Loureiro
•
Florent Krzakala
•
Marc Mézard
•
Lenka Zdeborová

20200221

Efficient Learning of Model Weights via Changing Features During Training
Marcell BeregiKovács
•
Ágnes Baran
•
András Hajdu

20200221

Multiscale Nonstationary Stochastic Bandits
Qin Ding
•
ChoJui Hsieh
•
James Sharpnack

20200213

Training TwoLayer ReLU Networks with Gradient Descent is Inconsistent

David Holzmüller
•
Ingo Steinwart

20200212

More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
•
Yifei Min
•
Mingrui Zhang
•
Amin Karbasi

20200211

Vision based body gesture meta features for Affective Computing
Indigo J. D. Orton

20200210

Mitigating QueryFlooding Parameter Duplication Attack on Regression Models with HighDimensional Gaussian Mechanism
Xiaoguang Li
•
Hui Li
•
Haonan Yan
•
Zelei Cheng
•
Wenhai Sun
•
Hui Zhu

20200206

A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation

K. Darshana Abeyrathna
•
OleChristoffer Granmo
•
Morten Goodwin

20200204

WeatherBench: A benchmark dataset for datadriven weather forecasting

Stephan Rasp
•
Peter D. Dueben
•
Sebastian Scher
•
Jonathan A. Weyn
•
Soukayna Mouatadid
•
Nils Thuerey

20200202

Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree
Peizhong Ju
•
Xiaojun Lin
•
Jia Liu

20200202

Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm
Ryoya Yamasaki
•
Toshiyuki Tanaka

20200130

Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks
Do Ngoc Diep

20200130

DataDriven Discovery of CoarseGrained Equations
Joseph Bakarji
•
Daniel M. Tartakovsky

20200130

Imputation for HighDimensional Linear Regression
Kabir Aladin Chandrasekher
•
Ahmed El Alaoui
•
Andrea Montanari

20200124

The Reciprocal Bayesian LASSO

Himel Mallick
•
Rahim Alhamzawi
•
Vladimir Svetnik

20200123

DataDriven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
Wilhelm Kirchgässner
•
Oliver Wallscheid
•
Joachim Böcker

20200117

Unsupervised PoolBased Active Learning for Linear Regression
Ziang Liu
•
Dongrui Wu

20200114

Backward Feature Correction: How Deep Learning Performs Deep Learning
Zeyuan AllenZhu
•
Yuanzhi Li

20200113

Choosing the Sample with Lowest Loss makes SGD Robust
Vatsal Shah
•
Xiaoxia Wu
•
Sujay Sanghavi

20200110

Multilayer Optimizations for EndtoEnd Data Analytics
Amir Shaikhha
•
Maximilian Schleich
•
Alexandru Ghita
•
Dan Olteanu

20200110

Review of Probability Distributions for Modeling Count Data
F. William Townes

20200110

Stellar Property Statistics of Massive Halos from Cosmological Hydrodynamics Simulations: Common Kernel Shapes
Dhayaa Anbajagane
•
August E. Evrard
•
Arya Farahi
•
David J. Barnes
•
Klaus Dolag
•
Ian G. McCarthy
•
Dylan Nelson
•
Annalisa Pillepich

20200107

The Secret Revealer: Generative Model Inversion Attacks Against Deep Neural Networks
Anonymous

20200101

Distributed Online Optimization with LongTerm Constraints
Deming Yuan
•
Alexandre Proutiere
•
Guodong Shi

20191220

Quantifying the effect of representations on task complexity
Julian Zilly
•
Lorenz Hetzel
•
Andrea Censi
•
Emilio Frazzoli

20191219

Bayesian highdimensional linear regression with generic spikeandslab priors
Bai Jiang
•
Qiang Sun

20191219

Benchmarking the Neural Linear Model for Regression
Sebastian W. Ober
•
Carl Edward Rasmussen

20191218

More Data Can Hurt for Linear Regression: Samplewise Double Descent
Preetum Nakkiran

20191216

Bayesian Linear Regression on Deep Representations
John Moberg
•
Lennart Svensson
•
Juliano Pinto
•
Henk Wymeersch

20191214

Exact expressions for double descent and implicit regularization via surrogate random design
Michał Dereziński
•
Feynman Liang
•
Michael W. Mahoney

20191210

Improved PACBayesian Bounds for Linear Regression
Vera Shalaeva
•
Alireza Fakhrizadeh Esfahani
•
Pascal Germain
•
Mihaly Petreczky

20191206

Analysis of effectiveness of thresholding in perfusion ROI detection on T2weighted MR images with abnormal brain anatomy
Svitlana Alkhimova
•
Svitlana Sliusar

20191205

Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
Rahul Rachuri
•
Ajith Suresh

20191205

Fast Sparse Group Lasso
Yasutoshi Ida
•
Yasuhiro Fujiwara
•
Hisashi Kashima

20191201

Partitioning Structure Learning for Segmented Linear Regression Trees

Xiangyu Zheng
•
Song Xi Chen

20191201

Efficient adjustment sets for population average treatment effect estimation in nonparametric causal graphical models
Andrea Rotnitzky
•
Ezequiel Smucler

20191201

Recursive Prediction of Graph Signals with Incoming Nodes
Arun Venkitaraman
•
Saikat Chatterjee
•
Bo Wahlberg

20191126

Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng Tang
•
Huaxiu Yao
•
Yiwei Sun
•
Charu Aggarwal
•
Prasenjit Mitra
•
Suhang Wang

20191122

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Tom Blau
•
Lionel Ott
•
Fabio Ramos

20191120

The Secret Revealer: Generative ModelInversion Attacks Against Deep Neural Networks
Yuheng Zhang
•
Ruoxi Jia
•
Hengzhi Pei
•
Wenxiao Wang
•
Bo Li
•
Dawn Song

20191117

A Model of Double Descent for Highdimensional Binary Linear Classification
Zeyu Deng
•
Abla Kammoun
•
Christos Thrampoulidis

20191113

01 phase transitions in sparse spiked matrix estimation
Jean Barbier
•
Nicolas Macris

20191112

Sparse estimation via $\ell_q$ optimization method in highdimensional linear regression
Xin Li
•
Yaohua Hu
•
Chong Li
•
Xiaoqi Yang
•
Tianzi Jiang

20191112

Tensor Regression Using Lowrank and Sparse Tucker Decompositions
Talal Ahmed
•
Haroon Raja
•
Waheed U. Bajwa

20191109

Missing Features Reconstruction and Its Impact on Classification Accuracy
Magda Friedjungová
•
Daniel Vašata
•
Marcel Jiřina

20191109

Explaining the Predictions of Any Image Classifier via Decision Trees
Sheng Shi
•
Xinfeng Zhang
•
Wei Fan

20191104

Modelling bidask spread conditional distributions using hierarchical correlation reconstruction
Jarosław Duda
•
Robert Syrek
•
Henryk Gurgul

20191104

Quantification of MagLIF morphology using the Mallat Scattering Transformation
Michael E. Glinsky
•
Thomas W. Moore
•
William E. Lewis
•
Matthew R. Weis
•
Christopher A. Jennings
•
David A. Ampleford
•
Eric C. Harding
•
Patrick F. Knapp
•
Matthew. R. Gomez
•
Sophia E. Lussiez

20191101

EnergyStar++: Towards more accurate and explanatory building energy benchmarking

Pandarasamy Arjunan
•
Kameshwar Poolla
•
Clayton Miller

20191030

Machine LearningBased Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Steven A. Hicks
•
Jorunn M. Andersen
•
Oliwia Witczak
•
Vajira Thambawita
•
Påll Halvorsen
•
Hugo L. Hammer
•
Trine B. Haugen
•
Michael A. Riegler

20191029

Inference in HighDimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection
David Gamarnik
•
Eren C. Kızıldağ
•
Ilias Zadik

20191024

QGADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis Elgabli
•
Jihong Park
•
Amrit S. Bedi
•
Chaouki Ben Issaid
•
Mehdi Bennis
•
Vaneet Aggarwal

20191023

Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of RestingState EEG in a Long Sustained Attention Task
Mastaneh TorkamaniAzar
•
Sumeyra Demir Kanik
•
Serap Aydin
•
Mujdat Cetin

20191021

First order expansion of convex regularized estimators
Pierre C Bellec
•
Arun K Kuchibhotla

20191012

Efficient Symmetric Norm Regression via Linear Sketching
Zhao Song
•
Ruosong Wang
•
Lin F. Yang
•
Hongyang Zhang
•
Peilin Zhong

20191004

A PseudoLikelihood Approach to Linear Regression with Partially Shuffled Data
Martin Slawski
•
Guoqing Diao
•
Emanuel BenDavid

20191003

Expert2Coder: Capturing Divergent Brain Regions Using Mixture of Regression Experts
Subba Reddy Oota
•
Naresh Manwani
•
Raju S. Bapi

20190926

The column measure and GradientFree Gradient Boosting
Tino Werner
•
Peter Ruckdeschel

20190924

Tuning parameter calibration for prediction in personalized medicine

ShihTing Huang
•
Yannick Düren
•
Kristoffer H. Hellton
•
Johannes Lederer

20190923

A generalization of regularized dual averaging and its dynamics

ShihKang Chao
•
Guang Cheng

20190922

Does SLOPE outperform bridge regression?
Shuaiwen Wang
•
Haolei Weng
•
Arian Maleki

20190920

Weighted Linear Bandits for NonStationary Environments

Yoan Russac
•
Claire Vernade
•
Olivier Cappé

20190919

Exploring linearity of deep neural network trained QSM: QSMnet+
Woojin Jung
•
Jaeyeon Yoon
•
Joon Yul Choi
•
Jae Myung Kim
•
Yoonho Nam
•
Eung Yeop Kim
•
Jongho Lee

20190917

Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
Kin Quan
•
Ryutaro Tanno
•
Rebecca J. Shipley
•
Jeremy S. Brown
•
Joseph Jacob
•
John R. Hurst
•
David J. Hawkes

20190916

A Knowledge Transfer Framework for Differentially Private Sparse Learning
Lingxiao Wang
•
Quanquan Gu

20190913

Super learning for daily streamflow forecasting: Largescale demonstration and comparison with multiple machine learning algorithms
Hristos Tyralis
•
Georgia Papacharalampous
•
Andreas Langousis

20190909

A scalable constructive algorithm for the optimization of neural network architectures
Massimiliano Lupo Pasini
•
Junqi Yin
•
Ying Wai Li
•
Markus Eisenbach

20190907

Regressionclustering for Improved Accuracy and Training Cost with MolecularOrbitalBased Machine Learning
Lixue Cheng
•
Nikola B. Kovachki
•
Matthew Welborn
•
Thomas F. Miller III

20190904

Rewarding HighQuality Data via Influence Functions
Adam Richardson
•
Aris FilosRatsikas
•
Boi Faltings

20190830

A Concertplanning Tool for Independent Musicians by Machine Learning Models
Xiaohan Yang
•
Qingyin Ge

20190829

Generalizing Psychological Similarity Spaces to Unseen Stimuli
Lucas Bechberger
•
KaiUwe Kühnberger

20190825

A ThreeFeature Model to Predict Colour Change Blindness
Steven Le Moan
•
Marius Pedersen

20190825

A deep learning model for segmentation of geographic atrophy to study its longterm natural history
Bart Liefers
•
Johanna M. Colijn
•
Cristina GonzálezGonzalo
•
Timo Verzijden
•
Paul Mitchell
•
Carel B. Hoyng
•
Bram van Ginneken
•
Caroline C. W. Klaver
•
Clara I. Sánchez

20190815

The generalization error of random features regression: Precise asymptotics and double descent curve
Song Mei
•
Andrea Montanari

20190814

Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Emily E Diller
•
Sha Cao
•
Beth Ey
•
Robert Lober
•
Jason G Parker

20190806

Dueling Posterior Sampling for PreferenceBased Reinforcement Learning

Ellen R. Novoseller
•
Yibing Wei
•
Yanan Sui
•
Yisong Yue
•
Joel W. Burdick

20190804

Method of ContractionExpansion (MOCE) for Simultaneous Inference in Linear Models
Fei Wang
•
Ling Zhou
•
Lu Tang
•
Peter X. K. Song

20190804

Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Xinyi Li
•
Yinchuan Li
•
XiaoYang Liu
•
Christina Dan Wang

20190803

Speech Recognition for Tigrinya language Using Deep Neural Network Approach
Hafte Abera
•
Sebsibe H/mariam

20190801

Airbnb Price Prediction Using Machine Learning and Sentiment Analysis

Pouya Rezazadeh Kalehbasti
•
Liubov Nikolenko
•
Hoormazd Rezaei

20190729

Effective and efficient ROIwise visual encoding using an endtoend CNN regression model and selective optimization

Kai Qiao
•
Chi Zhang
•
Jian Chen
•
Linyuan Wang
•
Li Tong
•
Bin Yan

20190727

Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing

Zhiqi Bu
•
Jason Klusowski
•
Cynthia Rush
•
Weijie Su

20190717

A TwoStage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
Martin Slawski
•
Emanuel BenDavid
•
Ping Li

20190716

Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
QiuYue Zhong
•
Andrew H. Fairless
•
Jasmine M. McCammon
•
Farbod Rahmanian

20190715

Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework

Gianluca Truda
•
Patrick Marais

20190711

Unbiased estimators for random design regression
Michał Dereziński
•
Manfred K. Warmuth
•
Daniel Hsu

20190708

Copula Representations and Error Surface Projections for the Exclusive Or Problem
Roy S. Freedman

20190708

On a Randomized MultiBlock ADMM for Solving Selected Machine Learning Problems

Mingxi Zhu
•
Kresimir Mihic
•
Yinyu Ye

20190703

Protecting Privacy of Users in BrainComputer Interface Applications
Anisha Agarwal
•
Rafael Dowsley
•
Nicholas D. McKinney
•
Dongrui Wu
•
ChinTeng Lin
•
Martine De Cock
•
Anderson C. A. Nascimento

20190702

Benign Overfitting in Linear Regression
Peter L. Bartlett
•
Philip M. Long
•
Gábor Lugosi
•
Alexander Tsigler

20190626

MaxAffine Regression: Provable, Tractable, and NearOptimal Statistical Estimation
Avishek Ghosh
•
Ashwin Pananjady
•
Adityanand Guntuboyina
•
Kannan Ramchandran

20190621

Active Linear Regression
Xavier Fontaine
•
Pierre Perrault
•
Vianney Perchet

20190620

Linear regression with stationary errors : the R package slm
Emmanuel Caron
•
Jérôme Dedecker
•
Michel Bertrand

20190615

Distributed Highdimensional Regression Under a Quantile Loss Function
Xi Chen
•
Weidong Liu
•
Xiaojun Mao
•
Zhuoyi Yang

20190613

Variance Estimation For Dynamic Regression via Spectrum Thresholding
Mark Kozdoba
•
Edward Moroshko
•
Shie Mannor
•
Koby Crammer

20190613

Bayesian experimental design using regularized determinantal point processes
Michał Dereziński
•
Feynman Liang
•
Michael W. Mahoney

20190610

Selection consistency of Lassobased procedures for misspecified highdimensional binary model and random regressors
Mariusz Kubkowski
•
Jan Mielniczuk

20190610

Complex Evolution Recurrent Neural Networks (ceRNNs)
Izhak Shafran
•
Tom Bagby
•
R. J. SkerryRyan

20190605

On the number of variables to use in principal component regression
Ji Xu
•
Daniel Hsu

20190604

JTML at SemEval2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks
Johnny Torres
•
Carmen Vaca

20190601

Robust Nonparametric DifferenceinDifferences Estimation
Chen Lu
•
Xinkun Nie
•
Stefan Wager

20190528

Parallel and Communication Avoiding Least Angle Regression
K. Fountoulakis
•
S. Das
•
L. Grigori
•
M. W. Mahoney
•
J. Demmel

20190527

What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan AllenZhu
•
Yuanzhi Li

20190524

DeepgKnock: nonlinear groupfeature selection with deep neural network
Guangyu Zhu
•
Tingting Zhao

20190524

Exploring helical dynamos with machine learning

Farrukh Nauman
•
Joonas Nättilä

20190520

Merging versus Ensembling in MultiStudy Machine Learning: Theoretical Insight from Random Effects
Zoe Guan
•
Giovanni Parmigiani
•
Prasad Patil

20190517

A New Look at an Old Problem: A Universal Learning Approach to Linear Regression

Koby Bibas
•
Yaniv Fogel
•
Meir Feder

20190512

A Scalable Learned Index Scheme in Storage Systems
Pengfei Li
•
Yu Hua
•
Pengfei Zuo
•
Jingnan Jia

20190508

Characterizing the invariances of learning algorithms using category theory
Kenneth D. Harris

20190506

Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan Kelner
•
Frederic Koehler
•
Raghu Meka
•
Ankur Moitra

20190503

Metalearners' learning dynamics are unlike learners'
Neil C. Rabinowitz

20190503

Rethinking learning rate schedules for stochastic optimization
Rong Ge
•
Sham M. Kakade
•
Rahul Kidambi
•
Praneeth Netrapalli

20190501

An Exhaustive Analysis of Lazy vs. Eager Learning Methods for RealEstate Property Investment
Setareh Rafatirad
•
Maryam Heidari

20190501

Horseshoe Regularization for Machine Learning in Complex and Deep Models
Anindya Bhadra
•
Jyotishka Datta
•
Yunfan Li
•
Nicholas G. Polson

20190424

Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder
Rohit Voleti
•
Stephanie Woolridge
•
Julie M. Liss
•
Melissa Milanovic
•
Christopher R. Bowie
•
Visar Berisha

20190424

MemorySample Tradeoffs for Linear Regression with Small Error
Vatsal Sharan
•
Aaron Sidford
•
Gregory Valiant

20190418

Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression

Erik Derner
•
Jiří Kubalík
•
Nicola Ancona
•
Robert Babuška

20190327

Shortterm Load Forecasting at Different Aggregation Levels with Predictability Analysis
Yayu Peng
•
Yishen Wang
•
Xiao Lu
•
Haifeng Li
•
Di Shi
•
Zhiwei Wang
•
Jie Li

20190326

Localized Linear Regression in Networked Data
Alexander Jung
•
Nguyen Tran

20190326

Implicit Regularization via Hadamard Product OverParametrization in HighDimensional Linear Regression
Peng Zhao
•
Yun Yang
•
QiaoChu He

20190322

Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models
Taiyao Wang
•
Ioannis Ch. Paschalidis

20190321

Byzantine Fault Tolerant Distributed Linear Regression
Nirupam Gupta
•
Nitin H. Vaidya

20190320

Adaptive Hard Thresholding for Nearoptimal Consistent Robust Regression
Arun Sai Suggala
•
Kush Bhatia
•
Pradeep Ravikumar
•
Prateek Jain

20190319

Mutual Linear Regressionbased Discrete Hashing
Xingbo Liu
•
Xiushan Nie
•
Yilong Yin

20190315

Personal Dynamic CostAware Sensing for Latent Context Detection
Saar Tal
•
Bracha Shapira
•
Lior Rokach

20190313

SpikeandSlab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Ray Bai
•
Gemma E. Moran
•
Joseph Antonelli
•
Yong Chen
•
Mary R. Boland

20190305

Multiple Learning for Regression in big data
Xiang Liu
•
Ziyang Tang
•
Huyunting Huang
•
Tonglin Zhang
•
Baijian Yang

20190303

On Robustness of Principal Component Regression
Anish Agarwal
•
Devavrat Shah
•
Dennis Shen
•
Dogyoon Song

20190228

Provable Approximations for Constrained $\ell_p$ Regression
Ibrahim Jubran
•
David Cohn
•
Dan Feldman

20190227

Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
Tomoyuki Obuchi
•
Ayaka Sakata

20190227

Nonlinear generalization of the monotone single index model

Zeljko Kereta
•
Timo Klock
•
Valeriya Naumova

20190224

Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms
Andrei Erofeev
•
Denis Orlov
•
Alexey Ryzhov
•
Dmitry Koroteev

20190218

ExponentiallyModified Gaussian Mixture Model: Applications in Spectroscopy
Sebastian Ament
•
John Gregoire
•
Carla Gomes

20190214

Distributed Online Linear Regression
Deming Yuan
•
Alexandre Proutiere
•
Guodong Shi

20190213

Differential Description Length for Hyperparameter Selection in Machine Learning
Mojtaba Abolfazli
•
Anders HostMadsen
•
June Zhang

20190213

The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
T. Tony Cai
•
Yichen Wang
•
Linjun Zhang

20190212

Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao Shen
•
Sujay Sanghavi

20190210

Scalable Holistic Linear Regression
Dimitris Bertsimas
•
Michael Lingzhi Li

20190208

Secure multiparty linear regression at plaintext speed

Jonathan M. Bloom

20190128

The autofeat Python Library for Automated Feature Engineering and Selection

Franziska Horn
•
Robert Pack
•
Michael Rieger

20190122

Learning Direct and Inverse Transmission Matrices
Daniele Ancora
•
Luca Leuzzi

20190115

Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei Wang
•
Graham Healy
•
Alan F. Smeaton
•
Tomas E. Ward

20190115

Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock
Nicole Fronda
•
Jessica Asencio
•
Cameron Carlin
•
David Ledbetter
•
Melissa Aczon
•
Randall Wetzel
•
Barry Markovitz

20190115

Variational Bayesian Weighted Complex Network Reconstruction

Shuang Xu
•
ChunXia Zhang
•
Pei Wang
•
Jiangshe Zhang

20181211

Doubly Robust Bayesian Inference for NonStationary Streaming Data with \betaDivergences
Jeremias Knoblauch
•
Jack E. Jewson
•
Theodoros Damoulas

20181201

\ell_1regression with Heavytailed Distributions
Lijun Zhang
•
ZhiHua Zhou

20181201

Optimal Subsampling with Influence Functions
Daniel Ting
•
Eric Brochu

20181201

An Improved Analysis of Alternating Minimization for Structured MultiResponse Regression
Sheng Chen
•
Arindam Banerjee

20181201

Modelbased targeted dimensionality reduction for neuronal population data
Mikio Aoi
•
Jonathan W. Pillow

20181201

Scalable Hyperparameter Transfer Learning
Valerio Perrone
•
Rodolphe Jenatton
•
Matthias W. Seeger
•
Cedric Archambeau

20181201

Sparse PCA from Sparse Linear Regression
Guy Bresler
•
Sung Min Park
•
Madalina Persu

20181125

Recovery guarantees for polynomial approximation from dependent data with outliers
Lam Si Tung Ho
•
Hayden Schaeffer
•
Giang Tran
•
Rachel Ward

20181125

Steerable Wavelet Scattering for 3D Atomic Systems with Application to LiSi Energy Prediction
Xavier Brumwell
•
Paul Sinz
•
Kwang Jin Kim
•
Yue Qi
•
Matthew Hirn

20181121

Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving
Sotirios Diamantas
•
Kostas Alexis

20181116

Regularised ZeroVariance Control Variates
Leah F. South
•
Antonietta Mira
•
Christopher Drovandi

20181113

Scale calibration for highdimensional robust regression
PoLing Loh

20181106

Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities

Matthias Rottmann
•
Pascal Colling
•
ThomasPaul Hack
•
Robin Chan
•
Fabian Hüger
•
Peter Schlicht
•
Hanno Gottschalk

20181101

From Gene Expression to Drug Response: A Collaborative Filtering Approach
Cheng Qian
•
Nicholas D. Sidiropoulos
•
Magda Amiridi
•
Amin Emad

20181029

Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans
Radmila Janković
•
Alessia Amelio

20181026

Exploiting HighLevel Semantics for NoReference Image Quality Assessment of Realistic Blur Images

Dingquan Li
•
Tingting Jiang
•
Ming Jiang

20181018

Hunting for Discriminatory Proxies in Linear Regression Models
Samuel Yeom
•
Anupam Datta
•
Matt Fredrikson

20181016

An algebraicgeometric approach for linear regression without correspondences
Manolis C. Tsakiris
•
Liangzu Peng
•
Aldo Conca
•
Laurent Kneip
•
Yuanming Shi
•
Hayoung Choi

20181012

Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
Jeongyeol Kwon
•
Wei Qian
•
Constantine Caramanis
•
Yudong Chen
•
Damek Davis

20181012

Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?

Dingquan Li
•
Tingting Jiang
•
Weisi Lin
•
Ming Jiang

20181011

A Unified Dynamic Approach to Sparse Model Selection
Chendi Huang
•
Yuan Yao

20181008

A Machine Learningbased Recommendation System for Swaptions Strategies
Adriano Soares Koshiyama
•
Nick Firoozye
•
Philip Treleaven

20181004

Correcting the bias in least squares regression with volumerescaled sampling
Michał Dereziński
•
Manfred K. Warmuth
•
Daniel Hsu

20181004

Agnostic Sample Compression for Linear Regression
Steve Hanneke
•
Aryeh Kontorovich
•
Menachem Sadigurschi

20181003

Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression
Andee Kaplan
•
Brenda Betancourt
•
Rebecca C. Steorts

20181002

plsRglm: Partial least squares linear and generalized linear regression for processing incomplete datasets by crossvalidation and bootstrap techniques with R
F. Bertrand
•
M. MaumyBertrand

20181001

Distributed linear regression by averaging

Edgar Dobriban
•
Yue Sheng

20180930

Estimate the Warfarin Dose by Ensemble of Machine Learning Algorithms
Zhiyuan Ma
•
Ping Wang
•
Zehui Gao
•
Ruobing Wang
•
Koroush Khalighi

20180910

Characterizing the Influence of Features on Reading Difficulty Estimation for Nonnative Readers
YiTing Huang
•
Meng Chang Chen
•
Yeali S. Sun

20180829

The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin Genzel
•
Gitta Kutyniok

20180820

Optimal stopping via reinforced regression
Denis Belomestny
•
John Schoenmakers
•
Vladimir Spokoiny
•
Bakhyt Zharkynbay

20180807

MultiEstimator Full Left Ventricle Quantification through Ensemble Learning
Jiasha Liu
•
Xiang Li
•
Hui Ren
•
Quanzheng Li

20180806

Relation Induction in Word Embeddings Revisited
Zied Bouraoui
•
Shoaib Jameel
•
Steven Schockaert

20180801

Local Linear Forests

Rina Friedberg
•
Julie Tibshirani
•
Susan Athey
•
Stefan Wager

20180730

MetaLearning Priors for Efficient Online Bayesian Regression

James Harrison
•
Apoorva Sharma
•
Marco Pavone

20180724

SignPerturbed Sums: A New System Identification Approach for Constructing Exact NonAsymptotic Confidence Regions in Linear Regression Models
Balázs Cs. Csáji
•
Marco C. Campi
•
Erik Weyer

20180722

The Incremental Proximal Method: A Probabilistic Perspective
Ömer Deniz Akyildiz
•
Victor Elvira
•
Joaquin Miguez

20180712

Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques
Aasheesh Barvey
•
Jitin Kapila
•
Kumarjit Pathak

20180711

Tournament Based Ranking CNN for the Cataract grading
Dohyeun Kim
•
Tae Joon Jun
•
Daeyoung Kim
•
Youngsub Eom

20180707

Robust Inference Under Heteroskedasticity via the Hadamard Estimator
Edgar Dobriban
•
Weijie J. Su

20180701

Conditional Sparse $\ell_p$norm Regression With Optimal Probability
John Hainline
•
Brendan Juba
•
Hai S. Le
•
David Woodruff

20180626

Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr Andoni
•
Chengyu Lin
•
Ying Sheng
•
Peilin Zhong
•
Ruiqi Zhong

20180617

Efficient sampling for Gaussian linear regression with arbitrary priors
P. Richard Hahn
•
Jingyu He
•
Hedibert Lopes

20180614

Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
Shumao Pang
•
Stephanie Leung
•
Ilanit Ben Nachum
•
Qianjin Feng
•
Shuo Li

20180614

Estimating Achilles tendon healing progress with convolutional neural networks
Norbert Kapinski
•
Jakub Zielinski
•
Bartosz A. Borucki
•
Tomasz Trzcinski
•
Beata CiszkowskaLyson
•
Krzysztof S. Nowinski

20180613

A semiparametric modeling approach using Bayesian Additive Regression Trees with an application to evaluate heterogeneous treatment effects
Bret Zeldow
•
Vincent Lo Re III
•
Jason Roy

20180611

Conditional Linear Regression

Diego Calderon
•
Brendan Juba
•
Sirui Li
•
Zongyi Li
•
Lisa Ruan

20180606

Doubly Robust Bayesian Inference for NonStationary Streaming Data with $β$Divergences

Jeremias Knoblauch
•
Jack Jewson
•
Theodoros Damoulas

20180606

Adversarial Regression with Multiple Learners

Liang Tong
•
Sixie Yu
•
Scott Alfeld
•
Yevgeniy Vorobeychik

20180606

Reverse iterative volume sampling for linear regression
Michał Dereziński
•
Manfred K. Warmuth

20180606

Datadriven Localization and Estimation of Disturbance in the Interconnected Power System
HyangWon Lee
•
Jianan Zhang
•
Eytan Modiano

20180604

Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Sreejith Kallummil
•
Sheetal Kalyani

20180602

Current and Future Psychological Health Prediction using Language and SocioDemographics of Children for the CLPysch 2018 Shared Task
Sharath Ch Guntuku
•
ra
•
Salvatore Giorgi
•
Lyle Ungar

20180601

Can adult mental health be predicted by childhood futureself narratives? Insights from the CLPsych 2018 Shared Task
Kylie Radford
•
Louise Lavrencic
•
Ruth Peters
•
Kim Kiely
•
Ben Hachey
•
Scott Nowson
•
Will Radford

20180601

Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias Diakonikolas
•
Weihao Kong
•
Alistair Stewart

20180531

Uniform regret bounds over $R^d$ for the sequential linear regression problem with the square loss
Pierre Gaillard
•
Sébastien Gerchinovitz
•
Malo Huard
•
Gilles Stoltz

20180529

Optimal ridge penalty for realworld highdimensional data can be zero or negative due to the implicit ridge regularization

Dmitry Kobak
•
Jonathan Lomond
•
Benoit Sanchez

20180528

Sequential adaptive elastic net approach for singlesnapshot source localization

Muhammad Naveed Tabassum
•
Esa Ollila

20180519

$\ell_1$regression with Heavytailed Distributions
Lijun Zhang
•
ZhiHua Zhou

20180502

Novel Prediction Techniques Based on Clusterwise Linear Regression

Igor Gitman
•
Jieshi Chen
•
Eric Lei
•
Artur Dubrawski

20180428

Moving Beyond SubGaussianity in HighDimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun Kumar Kuchibhotla
•
Abhishek Chakrabortty

20180408

Stochastic EM for Shuffled Linear Regression
Abubakar Abid
•
James Zou

20180402

Improving the Flexibility and Robustness of ModelBased DerivativeFree Optimization Solvers
Coralia Cartis
•
Jan Fiala
•
Benjamin Marteau
•
Lindon Roberts

20180331

AI Blue Book: Vehicle Price Prediction using Visual Features

Richard R. Yang
•
Steven Chen
•
Edward Chou

20180329

Crossvalidation in highdimensional spaces: a lifeline for leastsquares models and multiclass LDA

Matthias S. Treder

20180327

Determinantal Point Processes for Coresets
Nicolas Tremblay
•
Simon Barthelmé
•
PierreOlivier Amblard

20180323

A Comprehensive Analysis of Deep Regression

Stéphane Lathuilière
•
Pablo Mesejo
•
Xavier AlamedaPineda
•
Radu Horaud

20180322

Opposite neighborhood: a new method to select reference points of minimal learning machines

Madson Luiz Dantas Dias
•
Lucas Silva De Sousa
•
Ajalmar Rêgo da Rocha Neto
•
Amauri H. de Souza Júnior

20180322

Graphbased regularization for regression problems with alignment and highlycorrelated designs
Yuan Li
•
Benjamin Mark
•
Garvesh Raskutti
•
Rebecca Willett
•
Hyebin Song
•
David Neiman

20180320

High Dimensional Linear Regression using Lattice Basis Reduction
David Gamarnik
•
Ilias Zadik

20180318

Scalable Algorithms for Learning HighDimensional Linear Mixed Models

Zilong Tan
•
Kimberly Roche
•
Xiang Zhou
•
Sayan Mukherjee

20180312

Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain

YuXiang Wang

20180307

Missing Data in Sparse Transition Matrix Estimation for SubGaussian Vector Autoregressive Processes
Amin Jalali
•
Rebecca Willett

20180226

Spatially Constrained Location Prior for Scene Parsing
Ligang Zhang
•
Brijesh Verma
•
David Stockwell
•
Sujan Chowdhury

20180224

Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
Yuanzhi Li
•
Yingyu Liang

20180222

On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev Arora
•
Nadav Cohen
•
Elad Hazan

20180219

Leveraged volume sampling for linear regression
Michał Dereziński
•
Manfred K. Warmuth
•
Daniel Hsu

20180219

Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition
Vikramjit Mitra
•
Wen Wang
•
Chris Bartels
•
Horacio Franco
•
Dimitra Vergyri

20180216

Gradient Boosting With PieceWise Linear Regression Trees
Yu Shi
•
Jian Li
•
Zhize Li

20180215

Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna Weinshall
•
Gad Cohen
•
Dan Amir

20180211

Robust and Sparse Regression in GLM by Stochastic Optimization
Takayuki Kawashima
•
Hironori Fujisawa

20180209

Smart energy management as a means towards improved energy efficiency
Dylan te Lindert
•
Cláudio Rebelo de Sá
•
Carlos Soares
•
Arno J. Knobbe

20180208

On the Generalizability of Linear and NonLinear Region of InterestBased Multivariate Regression Models for fMRI Data
Ethan C. Jackson
•
James Alexander Hughes
•
Mark Daley

20180203

Using probabilistic programs as proposals
Marco F. CusumanoTowner
•
Vikash K. Mansinghka

20180111

Least Square Error Method Robustness of Computation: What is not usually considered and taught
Vaclav Skala

20180101

Estimating activity cycles with probabilistic methods I. Bayesian Generalised LombScargle Periodogram with Trend
N. Olspert
•
J. Pelt
•
M. J. Käpylä
•
J. Lehtinen

20171221

Accurate Inference for Adaptive Linear Models
Yash Deshpande
•
Lester Mackey
•
Vasilis Syrgkanis
•
Matt Taddy

20171218

A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation
Seokhyun Chung
•
Young Woong Park
•
Taesu Cheong

20171212

Predicting Yelp Star Reviews Based on Network Structure with Deep Learning
Luis Perez

20171211

Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start
Valerio Perrone
•
Rodolphe Jenatton
•
Matthias Seeger
•
Cedric Archambeau

20171208

Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA
Chuang Wang
•
Jonathan Mattingly
•
Yue M. Lu

20171208

Highdimensional robust regression and outliers detection with SLOPE
Alain Virouleau
•
Agathe Guilloux
•
Stéphane Gaïffas
•
Malgorzata Bogdan

20171207

CYUT at IJCNLP2017 Task 3: System Report for Review Opinion Diversification
ShihHung Wu
•
SuYu Chang
•
LiangPu Chen

20171201

Best Response Regression
Omer BenPorat
•
Moshe Tennenholtz

20171201

Consistent Robust Regression
Kush Bhatia
•
Prateek Jain
•
Parameswaran Kamalaruban
•
Purushottam Kar

20171201

Efficient SublinearRegret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji Ito
•
Daisuke Hatano
•
Hanna Sumita
•
Akihiro Yabe
•
Takuro Fukunaga
•
Naonori Kakimura
•
KenIchi Kawarabayashi

20171201

Valid Inference Corrected for Outlier Removal

Shuxiao Chen
•
Jacob Bien

20171129

Dependent relevance determination for smooth and structured sparse regression
Anqi Wu
•
Oluwasanmi Koyejo
•
Jonathan W. Pillow

20171128

Wisdom of the crowd from unsupervised dimension reduction
Lingfei Wang
•
Tom Michoel

20171128

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

Abien Fred Agarap

20171120

Discriminant Projection Representationbased Classification for Vision Recognition
Qingxiang Feng
•
Yicong Zhou

20171119

Sparse HighDimensional Linear Regression. Algorithmic Barriers and a Local Search Algorithm
David Gamarnik
•
Ilias Zadik

20171114

Quadratic Programming Over Ellipsoids (with Applications to Constrained Linear Regression and Tensor Decomposition)
AnhHuy Phan
•
Masao Yamagishi
•
Danilo Mandic
•
Andrzej Cichocki

20171113

Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis
Ayaka Sakata
•
Yingying Xu

20171108

AutoDifferentiating Linear Algebra
Matthias Seeger
•
Asmus Hetzel
•
Zhenwen Dai
•
Eric Meissner
•
Neil D. Lawrence

20171024

Facial Keypoints Detection
Shenghao Shi

20171015

$α$Variational Inference with Statistical Guarantees
Yun Yang
•
Debdeep Pati
•
Anirban Bhattacharya

20171009

Clickbait detection using word embeddings
Vijayasaradhi Indurthi
•
Subba Reddy Oota

20171008

WeightedSVD: Matrix Factorization with Weights on the Latent Factors

HungHsuan Chen

20171002

Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net

Tom Michoel

20170925

On Principal Components Regression, Random Projections, and Column Subsampling
Martin Slawski

20170923

Weighted Orthogonal Components Regression Analysis
Xiaogang Su
•
Yaa Wonkye
•
Pei Wang
•
Xiangrong Yin

20170913

Optimal Subsampling with Influence Functions
Daniel Ting
•
Eric Brochu

20170906

Adaptive Scaling
Ting Li
•
Bingyi Jing
•
Ningchen Ying
•
Xianshi Yu

20170902

DMGroup at EmoInt2017: Emotion Intensity Using Ensemble Method
Song Jiang
•
Xiaotian Han

20170901

The Trimmed Lasso: Sparsity and Robustness

Dimitris Bertsimas
•
Martin S. Copenhaver
•
Rahul Mazumder

20170815

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Jun Xiao
•
Hao Ye
•
Xiangnan He
•
Hanwang Zhang
•
Fei Wu
•
TatSeng Chua

20170815

Generalized MetaAnalysis for Multiple Regression Models Across Studies with Disparate Covariate Information
Prosenjit Kundu
•
Runlong Tang
•
Nilanjan Chatterjee

20170812

GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Seungkyun Hong
•
Seongchan Kim
•
Minsu Joh
•
Sakwang Song

20170811

MITRE at SemEval2017 Task 1: Simple Semantic Similarity
John Henderson
•
Elizabeth Merkhofer
•
Laura Strickhart
•
Guido Zarrella

20170801

UWFinSent at SemEval2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation

Vineet John
•
Olga Vechtomova

20170801

DUTH at SemEval2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles
Symeon Symeonidis
•
John Kordonis
•
Dimitrios Effrosynidis
•
Avi Arampatzis

20170801

Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures
Andre Mastmeyer
•
Matthias Wilms
•
Heinz Handels

20170726

Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
Shiva Prasad Kasiviswanathan
•
Mark Rudelson

20170725

Tailoring Artificial Neural Networks for Optimal Learning

Pau Vilimelis Aceituno
•
Yan Gang
•
YangYu Liu

20170708

Linguistic analysis of differences in portrayal of movie characters
Anil Ramakrishna
•
Victor R. Mart{\'\i}nez
•
Mal
•
Nikolaos rakis
•
Karan Singla
•
Shrikanth Narayanan

20170701

Asymptotic Confidence Regions for Highdimensional Structured Sparsity
Benjamin Stucky
•
Sara van de Geer

20170628

Topdown Transformation Choice
Torsten Hothorn

20170626

Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen Kale
•
Zohar Karnin
•
Tengyuan Liang
•
Dávid Pál

20170614

Collect at Once, Use Effectively: Making Noninteractive Locally Private Learning Possible
Kai Zheng
•
Wenlong Mou
•
Liwei Wang

20170611

A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric
Ruidi Chen
•
Ioannis Ch. Paschalidis

20170607

Exact adaptive confidence intervals for linear regression coefficients
Peter D. Hoff
•
Chaoyu Yu

20170523

Maximum Margin Principal Components
Xianghui Luo
•
Robert J. Durrant

20170517

Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong Chen
•
Lili Su
•
Jiaming Xu

20170516

Mind the Gap: A Well Log Data Analysis
Rui L. Lopes
•
Alípio Jorge

20170510

Linear Regression with Shuffled Labels
Abubakar Abid
•
Ada Poon
•
James Zou

20170503

Structured Sparse Modelling with Hierarchical GP
Danil Kuzin
•
Olga Isupova
•
Lyudmila Mihaylova

20170427

A Flexible Framework for Hypothesis Testing in Highdimensions
Adel Javanmard
•
Jason D. Lee

20170426

Denoising Linear Models with Permuted Data
Ashwin Pananjady
•
Martin J. Wainwright
•
Thomas A. Courtade

20170424

Solar Power Forecasting Using Support Vector Regression
Mohamed Abuella
•
Badrul Chowdhury

20170329

Multivariate Regression with Gross Errors on Manifoldvalued Data
Xiaowei Zhang
•
Xudong Shi
•
Yu Sun
•
Li Cheng

20170326

CrossValidation with Confidence

Jing Lei

20170323

Alternating optimization for GxE modelling with weighted genetic and environmental scores: examples from the MAVAN study
Alexia JolicoeurMartineau
•
Ashley Wazana
•
Eszter Szekely
•
Meir Steiner
•
Alison S. Fleming
•
James L. Kennedy
•
Michael J. Meaney
•
Celia M. T. Greenwood

20170323

Tuning Free Orthogonal Matching Pursuit
Sreejith Kallummil
•
Sheetal Kalyani

20170315

Fuzzy Model Tree For Early Effort Estimation
Mohammad Azzeh
•
Ali Bou Nassif

20170311

MemoryEfficient Global Refinement of DecisionTree Ensembles and its Application to Face Alignment
Nenad Markuš
•
Ivan Gogić
•
Igor S. Pandžić
•
Jörgen Ahlberg

20170227

SAGA and Restricted Strong Convexity
Chao Qu
•
Yan Li
•
Huan Xu

20170219

Machine learning prediction errors better than DFT accuracy
Felix A. Faber
•
Luke Hutchison
•
Bing Huang
•
Justin Gilmer
•
Samuel S. Schoenholz
•
George E. Dahl
•
Oriol Vinyals
•
Steven Kearnes
•
Patrick F. Riley
•
O. Anatole von Lilienfeld

20170217

Rate Optimal Estimation and Confidence Intervals for Highdimensional Regression with Missing Covariates
Yining Wang
•
Jialei Wang
•
Sivaraman Balakrishnan
•
Aarti Singh

20170209

On SGD's Failure in Practice: Characterizing and Overcoming Stalling
Vivak Patel

20170201

Subset Selection for Multiple Linear Regression via Optimization
Young Woong Park
•
Diego Klabjan

20170127

Identifying Nonlinear 1Step Causal Influences in Presence of Latent Variables
Saber Salehkaleybar
•
Jalal Etesami
•
Negar Kiyavash

20170123

Efficient and Adaptive Linear Regression in SemiSupervised Settings
Abhishek Chakrabortty
•
Tianxi Cai

20170117

HighDimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition
David Gamarnik
•
Ilias Zadik

20170116

Symbolic Regression Algorithms with Builtin Linear Regression
Jan Žegklitz
•
Petr Pošík

20170113

Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
Xiaowei Zhang
•
Chi Xu
•
Yu Zhang
•
Tingshao Zhu
•
Li Cheng

20170111

Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks

Tee Connie
•
Mundher AlShabi
•
Michael Goh

20161230

Geometric descent method for convex composite minimization
Shixiang Chen
•
Shiqian Ma
•
Wei Liu

20161229

A Convex Program for Mixed Linear Regression with a Recovery Guarantee for WellSeparated Data
Paul Hand
•
Babhru Joshi

20161219

Measuring the nonasymptotic convergence of sequential Monte Carlo samplers using probabilistic programming
Marco F. CusumanoTowner
•
Vikash K. Mansinghka

20161207

Combinatorial semibandit with known covariance
Rémy Degenne
•
Vianney Perchet

20161206

A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts
Fei Liu
•
Julien Perez
•
Scott Nowson

20161201

CogALexV Shared Task: GHHH  Detecting Semantic Relations via Word Embeddings
Mohammed Attia
•
Suraj Maharjan
•
Younes Samih
•
Laura Kallmeyer
•
Thamar Solorio

20161201

Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Pad{\'o}
•
Aur{\'e}lie Herbelot
•
Max Kisselew
•
Jan {\v{S}}najder

20161201

GAP Safe Screening Rules for SparseGroup Lasso

Eugene Ndiaye
•
Olivier Fercoq
•
Alexandre Gramfort
•
Joseph Salmon

20161201

A Bandit Framework for Strategic Regression
Yang Liu
•
Yiling Chen

20161201

Mixed Linear Regression with Multiple Components
Kai Zhong
•
Prateek Jain
•
Inderjit S. Dhillon

20161201

The Limits of Learning with Missing Data
Brian Bullins
•
Elad Hazan
•
Tomer Koren

20161201

Scalable Approximations for Generalized Linear Problems
Murat A. Erdogdu
•
Mohsen Bayati
•
Lee H. Dicker

20161121

Convolutional Regression for Visual Tracking
Kai Chen
•
Wenbing Tao

20161114

Unsupervised Learning For Effective User Engagement on Social Media
Thai Pham
•
Camelia Simoiu

20161111

Adaptive regularization for Lasso models in the context of nonstationary data streams
Ricardo Pio Monti
•
Christoforos Anagnostopoulos
•
Giovanni Montana

20161028

A Languageindependent and Compositional Model for Personality Trait Recognition from Short Texts
Fei Liu
•
Julien Perez
•
Scott Nowson

20161014

A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant
SangJe Cho
•
JongHo Shin
•
HongBae Jun
•
HoJin Hwang
•
Chunghun Ha
•
Jinsang Hwang

20161003

On Randomized Distributed Coordinate Descent with Quantized Updates
Mostafa El Gamal
•
Lifeng Lai

20160918

Online Feature Selection with Group Structure Analysis
Jing Wang
•
Meng Wang
•
Peipei Li
•
Luoqi Liu
•
Zhongqiu Zhao
•
Xuegang Hu
•
Xindong Wu

20160821

Conditional Sparse Linear Regression
Brendan Juba

20160818

Variational Mixture Models with Gamma or inverseGamma components

A. Llera
•
D. Vidaurre
•
R. H. R. Pruim
•
C. F. Beckmann

20160726

Algorithms for Generalized Clusterwise Linear Regression
Young Woong Park
•
Yan Jiang
•
Diego Klabjan
•
Loren Williams

20160705

Group Sparse Regularization for Deep Neural Networks
Simone Scardapane
•
Danilo Comminiello
•
Amir Hussain
•
Aurelio Uncini

20160702

Semisupervised structured output prediction by local linear regression and subgradient descent
RuZe Liang
•
Wei Xie
•
Weizhi Li
•
Xin Du
•
Jim JingYan Wang
•
Jingbin Wang

20160607

PACBayesian Theory Meets Bayesian Inference
Pascal Germain
•
Francis Bach
•
Alexandre Lacoste
•
Simon LacosteJulien

20160527

Bayesian linear regression with Studentt assumptions
Chaobing Song
•
ShuTao Xia

20160415

Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection
Jianyu Tang
•
Hanzi Wang
•
Yan Yan

20160326

On the exact recovery of sparse signals via conic relaxations
Hongbo Dong

20160315

Template Matching via Densities on the RotoTranslation Group
Erik J. Bekkers
•
Marco Loog
•
Bart M. ter Haar Romeny
•
Remco Duits

20160310

Online Sparse Linear Regression
Dean Foster
•
Satyen Kale
•
Howard Karloff

20160307

Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Florian Ziel
•
Bidong Liu

20160304

GAP Safe Screening Rules for SparseGroupLasso

Eugene Ndiaye
•
Olivier Fercoq
•
Alexandre Gramfort
•
Joseph Salmon

20160219

The knockoff filter for FDR control in groupsparse and multitask regression
Ran Dai
•
Rina Foygel Barber

20160211

Online Active Linear Regression via Thresholding
Carlos Riquelme
•
Ramesh Johari
•
Baosen Zhang

20160209

A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
Divya Padmanabhan
•
Satyanath Bhat
•
Dinesh Garg
•
Shirish Shevade
•
Y. Narahari

20160125

ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
Sanjay Krishnan
•
Jiannan Wang
•
Eugene Wu
•
Michael J. Franklin
•
Ken Goldberg

20160115

On Computationally Tractable Selection of Experiments in MeasurementConstrained Regression Models
Yining Wang
•
Adams Wei Yu
•
Aarti Singh

20160109

On the Differential Privacy of Bayesian Inference
Zuhe Zhang
•
Benjamin Rubinstein
•
Christos Dimitrakakis

20151222

Selective Sequential Model Selection
William Fithian
•
Jonathan Taylor
•
Robert Tibshirani
•
Ryan Tibshirani

20151208

Random Forests for Big Data
Robin Genuer
•
JeanMichel Poggi
•
Christine TuleauMalot
•
Nathalie VillaVialaneix

20151126

Optimized Linear Imputation
Yehezkel S. Resheff
•
Daphna Weinshall

20151117

Lass0: sparse nonconvex regression by local search
William Herlands
•
Maria DeArteaga
•
Daniel Neill
•
Artur Dubrawski

20151113

Streaming regularization parameter selection via stochastic gradient descent
Ricardo Pio Monti
•
Romy Lorenz
•
Robert Leech
•
Christoforos Anagnostopoulos
•
Giovanni Montana

20151106

On the complexity of switching linear regression
Fabien Lauer

20151023

Decadal climate predictions using sequential learning algorithms
Ehud Strobach
•
Golan Bel

20150917

Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei Kondo
•
Kohei Hayashi
•
Shinichi Maeda

20150903

A Gibbs Sampler for Multivariate Linear Regression
Adam B. Mantz

20150903

Online Supervised Subspace Tracking
Yao Xie
•
Ruiyang Song
•
Hanjun Dai
•
Qingbin Li
•
Le Song

20150901

A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation
Ali Bou Nassif
•
Mohammad Azzeh
•
Luiz Fernando Capretz
•
Danny Ho

20150828

The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization
Rahul Mazumder
•
Peter Radchenko

20150808

Robust and sparse estimators for linear regression models
Ezequiel Smucler
•
Víctor J. Yohai

20150808

Best Subset Selection via a Modern Optimization Lens
Dimitris Bertsimas
•
Angela King
•
Rahul Mazumder

20150711

Differentially Private Ordinary Least Squares
Or Sheffet

20150709

Portfolio optimization using local linear regression ensembles in RapidMiner
Gabor Nagy
•
Gergo Barta
•
Tamas Henk

20150629

Modalitydependent Crossmedia Retrieval
Yunchao Wei
•
Yao Zhao
•
Zhenfeng Zhu
•
Shikui Wei
•
Yanhui Xiao
•
Jiashi Feng
•
Shuicheng Yan

20150622

On the Computational Complexity of HighDimensional Bayesian Variable Selection
Yun Yang
•
Martin J. Wainwright
•
Michael I. Jordan

20150529

Supervised Learning for Dynamical System Learning
Ahmed Hefny
•
Carlton Downey
•
Geoffrey Gordon

20150520

A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives
Robert M. Freund
•
Paul Grigas
•
Rahul Mazumder

20150516

Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters
Xiangru Li
•
Yu Lu
•
Georges Comte
•
Ali Luo
•
Yongheng Zhao
•
Yongjun Wang

20150409

Asymmetric Distributions from Constrained Mixtures
Conrado S. Miranda
•
Fernando J. Von Zuben

20150322

Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales Imbiriba
•
José Carlos Moreira Bermudez
•
Cédric Richard
•
JeanYves Tourneret

20150318

Improved Calibration of NearInfrared Spectra by Using Ensembles of Neural Network Models
A. Ukil
•
J. Bernasconi
•
H. Braendle
•
H. Buijs
•
S. Bonenfant

20150318

Maximum a Posteriori Adaptation of Network Parameters in Deep Models
Zhen Huang
•
Sabato Marco Siniscalchi
•
IFan Chen
•
Jiadong Wu
•
ChinHui Lee

20150306

Finding Dantzig selectors with a proximity operator based fixedpoint algorithm
Ashley Prater
•
Lixin Shen
•
Bruce W. Suter

20150219

PerBlockConvex Data Modeling by Accelerated Stochastic Approximation
Konstantinos Slavakis
•
Georgios B. Giannakis

20150129

Minimax Optimal Sparse Signal Recovery with Poisson Statistics
Mohammad H. Rohban
•
Delaram Motamedvaziri
•
Venkatesh Saligrama

20150121

Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
Ashley Prater
•
Lixin Shen

20150120

Implementable confidence sets in high dimensional regression
Alexandra Carpentier

20150119

HyperSpectral classification with adaptively weighted L1norm regularization and spatial postprocessing
Victor Stefan Aldea

20141208

Sparse Bayesian structure learning with “dependent relevance determination” priors
Anqi Wu
•
Mijung Park
•
Oluwasanmi O. Koyejo
•
Jonathan W. Pillow

20141201

On Sparse Gaussian Chain Graph Models
Calvin Mccarter
•
Seyoung Kim

20141201

Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie Xu
•
Balaji Lakshminarayanan
•
Yee Whye Teh
•
Jun Zhu
•
Bo Zhang

20141201

Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry

Kunal Talwar
•
Abhradeep Thakurta
•
Li Zhang

20141120

Multivariate response and parsimony for Gaussian clusterweighted models
Utkarsh J. Dang
•
Antonio Punzo
•
Paul D. McNicholas
•
Salvatore Ingrassia
•
Ryan P. Browne

20141103

Population Empirical Bayes

Alp Kucukelbir
•
David M. Blei

20141102

On Iterative Hard Thresholding Methods for Highdimensional MEstimation
Prateek Jain
•
Ambuj Tewari
•
Purushottam Kar

20141020

Augmented Neural Networks for Modelling Consumer Indebtness
Alexandros Ladas
•
Jonathan M. Garibaldi
•
Rodrigo Scarpel
•
Uwe Aickelin

20140903

Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform
Yuyu Zhang
•
Liang Pang
•
Lei Shi
•
Bin Wang

20140827

Statistical guarantees for the EM algorithm: From population to samplebased analysis
Sivaraman Balakrishnan
•
Martin J. Wainwright
•
Bin Yu

20140809

RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization
Ziming Zhang
•
Venkatesh Saligrama

20140613

Discriminative Functional Connectivity Measures for Brain Decoding
Orhan Firat
•
Mete Ozay
•
Ilke Oztekin
•
Fatos T. Yarman Vural

20140223

Retrieval of Experiments by Efficient Estimation of Marginal Likelihood
Sohan Seth
•
John ShaweTaylor
•
Samuel Kaski

20140219

Monte Carlo Simulation for LassoType Problems by Estimator Augmentation
Qing Zhou

20140117

Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods
Shashank Mouli Satapathy
•
Santanu Kumar Rath

20140114

Inference in High Dimensions with the Penalized Score Test
Arend Voorman
•
Ali Shojaie
•
Daniela Witten

20140112

Learning optimization models in the presence of unknown relations
Sicco Verwer
•
Yingqian Zhang
•
Qing Chuan Ye

20140106

Unsupervised Discovery of Biographical Structure from Text
David Bamman
•
Noah A. Smith

20140101

Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
Raïssa Onanena
•
Faicel Chamroukhi
•
Latifa Oukhellou
•
Denis Candusso
•
Patrice Aknin
•
Daniel Hissel

20131225

Modèle à processus latent et algorithme EM pour la régression non linéaire
Faicel Chamroukhi
•
Allou Samé
•
Gérard Govaert
•
Patrice Aknin

20131225

Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset
Doreswamy
•
Chanabasayya . M. Vastrad

20131210

Swapping Variables for HighDimensional Sparse Regression with Correlated Measurements
Divyanshu Vats
•
Richard G. Baraniuk

20131205

Informationtheoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen Zhang
•
John Duchi
•
Michael I. Jordan
•
Martin J. Wainwright

20131201

A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees
N. Denizcan Vanli
•
Suleyman S. Kozat

20131125

When Does More Regularization Imply Fewer Degrees of Freedom? Sufficient Conditions and Counter Examples from Lasso and Ridge Regression
Shachar Kaufman
•
Saharon Rosset

20131112

Regularization of $\ell_1$ minimization for dealing with outliers and noise in Statistics and Signal Recovery
Salvador Flores
•
Luis M. BricenoArias

20131028

Alternating Minimization for Mixed Linear Regression
Xinyang Yi
•
Constantine Caramanis
•
Sujay Sanghavi

20131014

Linear Regression from Strategic Data Sources
Nicolas Gast
•
Stratis Ioannidis
•
Patrick Loiseau
•
Benjamin Roussillon

20130930

Learning from the past, predicting the statistics for the future, learning an evolving system
Daniel Levin
•
Terry Lyons
•
Hao Ni

20130901

Confidence Sets Based on Thresholding Estimators in HighDimensional Gaussian Regression Models
Ulrike Schneider

20130814

Sharp Threshold for Multivariate MultiResponse Linear Regression via Block Regularized Lasso
Weiguang Wang
•
Yingbin Liang
•
Eric P. Xing

20130730

Loss minimization and parameter estimation with heavy tails
Daniel Hsu
•
Sivan Sabato

20130707

A Statistical Perspective on Algorithmic Leveraging
Ping Ma
•
Michael W. Mahoney
•
Bin Yu

20130623

Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi Chaganty
•
Percy Liang

20130617

Confidence Intervals and Hypothesis Testing for HighDimensional Regression
Adel Javanmard
•
Andrea Montanari

20130613

Analytic Feature Selection for Support Vector Machines
Carly Stambaugh
•
Hui Yang
•
Felix Breuer

20130420

Distributed dictionary learning over a sensor network
Pierre Chainais
•
Cédric Richard

20130412

Feature MultiSelection among Subjective Features
Sivan Sabato
•
Adam Kalai

20130218

A significance test for the lasso
Richard Lockhart
•
Jonathan Taylor
•
Ryan J. Tibshirani
•
Robert Tibshirani

20130130

Hypothesis Testing in HighDimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel Javanmard
•
Andrea Montanari

20130117

Optimal classification in sparse Gaussian graphic model
Yingying Fan
•
Jiashun Jin
•
Zhigang Yao

20121221

Fixedrank matrix factorizations and Riemannian lowrank optimization
B. Mishra
•
G. Meyer
•
S. Bonnabel
•
R. Sepulchre

20120903

Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun Jin
•
CunHui Zhang
•
Qi Zhang

20120429

Adaptive and optimal online linear regression on $\ell^1$balls
Sébastien Gerchinovitz
•
Jia Yuan Yu

20110520

Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz

20110105

Fast global convergence rates of gradient methods for highdimensional statistical recovery
Alekh Agarwal
•
Sahand Negahban
•
Martin J. Wainwright

20101201

Parametric Bandits: The Generalized Linear Case
Sarah Filippi
•
Olivier Cappe
•
Aurélien Garivier
•
Csaba Szepesvári

20101201

A Dirty Model for Multitask Learning
Ali Jalali
•
Sujay Sanghavi
•
Chao Ruan
•
Pradeep K. Ravikumar

20101201

A Family of Penalty Functions for Structured Sparsity
Jean Morales
•
Charles A. Micchelli
•
Massimiliano Pontil

20101201

Directed Regression
YiHao Kao
•
Benjamin V. Roy
•
Xiang Yan

20091201

Heterogeneous multitask learning with joint sparsity constraints
Xiaolin Yang
•
Seyoung Kim
•
Eric P. Xing

20091201

A Fast Algorithm for Robust Regression with Penalised Trimmed Squares
L. Pitsoulis
•
G. Zioutas

20090107

Modeling human function learning with Gaussian processes
Thomas L. Griffiths
•
Chris Lucas
•
Joseph Williams
•
Michael L. Kalish

20081201

Phase transitions for highdimensional joint support recovery
Sahand Negahban
•
Martin J. Wainwright

20081201

Bolasso: model consistent Lasso estimation through the bootstrap

Francis Bach

20080408

Online Linear Regression and Its Application to ModelBased Reinforcement Learning
Alexander L. Strehl
•
Michael L. Littman

20071201

Spike and slab variable selection: Frequentist and Bayesian strategies
Hemant Ishwaran
•
J. Sunil Rao

20050530
