Linear Regression

Linear Regression is a method for modelling a relationship between a dependent variable and independent variables. These models can be fit with numerous approaches. The most common is least squares, where we minimize the mean square error between the predicted values $\hat{y} = \textbf{X}\hat{\beta}$ and actual values $y$: $\left(y-\textbf{X}\beta\right)^{2}$.

We can also define the problem in probabilistic terms as a generalized linear model (GLM) where the pdf is a Gaussian distribution, and then perform maximum likelihood estimation to estimate $\hat{\beta}$.

Image Source: Wikipedia

Latest Papers

PAPER DATE
Quantum differentially private sparse regression learning
Yuxuan DuMin-Hsiu HsiehTongliang LiuShan YouDacheng Tao
2020-07-23
Using local dynamics to explain analog forecasting of chaotic systems
P PlatzerP. YiouP. NaveauP TandeoY ZhenP AilliotJ-F Filipot
2020-07-22
Learning from Data to Speed-up Sorted Table Search Procedures: Methodology and Practical Guidelines
Domenico AmatoGiosué Lo BoscoRaffaele Giancarlo
2020-07-20
Optimal Robust Linear Regression in Nearly Linear Time
Yeshwanth CherapanamjeriEfe ArasNilesh TripuraneniMichael I. JordanNicolas FlammarionPeter L. Bartlett
2020-07-16
Forecasting Hyponatremia in hospitalized patients Using Multilayer Perceptron and Multivariate Linear Regression Techniques
Prasannavenkatesan Theerthagiri
2020-07-15
An Uncertainty-based Human-in-the-loop System for Industrial Tool Wear Analysis
Alexander TreissJannis WalkNiklas Kühl
2020-07-14
A spectral algorithm for robust regression with subgaussian rates
Jules Depersin
2020-07-12
Federated Learning's Blessing: FedAvg has Linear Speedup
Zhaonan QuKaixiang LinJayant KalagnanamZhaojian LiJiayu ZhouZhengyuan Zhou
2020-07-11
Differentially Private Simple Linear Regression
Daniel AlabiAudra McMillanJayshree SarathyAdam SmithSalil Vadhan
2020-07-10
Robust Geodesic Regression
| Ha-Young ShinHee-Seok Oh
2020-07-09
Coded Computing for Federated Learning at the Edge
Saurav PrakashSagar DhakalMustafa AkdenizA. Salman AvestimehrNageen Himayat
2020-07-07
Piecewise Linear Regression via a Difference of Convex Functions
| Ali SiahkamariAditya GangradeBrian KulisVenkatesh Saligrama
2020-07-05
Coded Distributed Computing with Partial Recovery
Emre OzfaturaSennur UlukusDeniz Gunduz
2020-07-04
Partial Trace Regression and Low-Rank Kraus Decomposition
Hachem KadriStéphane AyacheRiikka HuusariAlain RakotomamonjyLiva Ralaivola
2020-07-02
Efficient computation and analysis of distributional Shapley values
Yongchan KwonManuel A. RivasJames Zou
2020-07-02
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo
Mert GürbüzbalabanXuefeng GaoYuanhan HuLingjiong Zhu
2020-07-01
Online Robust Regression via SGD on the l1 loss
Scott PesmeNicolas Flammarion
2020-07-01
Robust Linear Regression: Optimal Rates in Polynomial Time
Ainesh BakshiAdarsh Prasad
2020-06-29
STORM: Foundations of End-to-End Empirical Risk Minimization on the Edge
Benjamin ColemanGaurav GuptaJohn ChenAnshumali Shrivastava
2020-06-25
Active Online Domain Adaptation
Yining ChenHaipeng LuoTengyu MaChicheng Zhang
2020-06-25
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data
Farhad Farokhi
2020-06-24
The Macroeconomy as a Random Forest
Philippe Goulet Coulombe
2020-06-23
Statistical Mechanics of Generalization in Kernel Regression
| Abdulkadir CanatarBlake BordelonCengiz Pehlevan
2020-06-23
Exact Support Recovery in Federated Regression with One-shot Communication
Adarsh BarikJean Honorio
2020-06-22
Learned Uncertainty-Aware (LUNA) Bases for Bayesian Regression using Multi-Headed Auxiliary Networks
Sujay ThakurCooper LorsungYaniv YacobyFinale Doshi-VelezWeiwei Pan
2020-06-21
Transfer Learning for High-dimensional Linear Regression: Prediction, Estimation, and Minimax Optimality
Sai LiT. Tony CaiHongzhe Li
2020-06-18
Least Squares Regression with Markovian Data: Fundamental Limits and Algorithms
Guy BreslerPrateek JainDheeraj NagarajPraneeth NetrapalliXian Wu
2020-06-16
The Reflectron: Exploiting geometry for learning generalized linear models
Nicholas M. BoffiJean-Jacques E. Slotine
2020-06-15
The Statistical Cost of Robust Kernel Hyperparameter Tuning
Raphael A. MeyerChristopher Musco
2020-06-14
Sub-Seasonal Climate Forecasting via Machine Learning: Challenges, Analysis, and Advances
Sijie HeXinyan LiTimothy DelSolePradeep RavikumarArindam Banerjee
2020-06-14
PAC-Bayes unleashed: generalisation bounds with unbounded losses
Maxime HaddoucheBenjamin GuedjOmar RivasplataJohn Shawe-Taylor
2020-06-12
Double Double Descent: On Generalization Errors in Transfer Learning between Linear Regression Tasks
Yehuda DarRichard G. Baraniuk
2020-06-12
Sparse recovery by reduced variance stochastic approximation
Anatoli JuditskyAndrei KulunchakovHlib Tsyntseus
2020-06-11
Multiplicative noise and heavy tails in stochastic optimization
Liam HodgkinsonMichael W. Mahoney
2020-06-11
On Uniform Convergence and Low-Norm Interpolation Learning
Lijia ZhouD. J. SutherlandNathan Srebro
2020-06-10
Distribution Regression for Continuous-Time Processes via the Expected Signature
Maud LemercierCristopher SalviTheodoros DamoulasEdwin V. BonillaTerry Lyons
2020-06-10
Robust Grouped Variable Selection Using Distributionally Robust Optimization
Ruidi ChenIoannis Ch. Paschalidis
2020-06-10
Robustified Multivariate Regression and Classification Using Distributionally Robust Optimization under the Wasserstein Metric
Ruidi ChenIoannis Ch. Paschalidis
2020-06-10
Homomorphic Sensing of Subspace Arrangements
Liangzu PengBoshi WangManolis C. Tsakiris
2020-06-09
On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
Jeongyeol KwonNhat HoConstantine Caramanis
2020-06-04
Inject Machine Learning into Significance Test for Misspecified Linear Models
Jiaye TengYang Yuan
2020-06-04
On lower bounds for the bias-variance trade-off
Alexis DerumignyJohannes Schmidt-Hieber
2020-05-30
Robust estimation via generalized quasi-gradients
Banghua ZhuJiantao JiaoJacob Steinhardt
2020-05-28
Learning How To Learn Within An LSM-based Key-Value Store
Yifan DaiYien XuAishwarya GanesanRamnatthan AlagappanBrian KrothAndrea C. Arpaci-DusseauRemzi H. Arpaci-Dusseau
2020-05-28
Review of Mathematical frameworks for Fairness in Machine Learning
Eustasio del BarrioPaula GordalizaJean-Michel Loubes
2020-05-26
Scalable penalized spatiotemporal land-use regression for ground-level nitrogen dioxide
Kyle P MessierMatthias Katzfuss
2020-05-19
BLAZE: Blazing Fast Privacy-Preserving Machine Learning
Arpita PatraAjith Suresh
2020-05-18
Nested Model Averaging on Solution Path for High-dimensional Linear Regression
Yang FengQingfeng Liu
2020-05-16
Learning Rate Annealing Can Provably Help Generalization, Even for Convex Problems
Preetum Nakkiran
2020-05-15
A Multi-Variate Triple-Regression Forecasting Algorithm for Long-Term Customized Allergy Season Prediction
Xiaoyu WuDavid BorrelliZeyu BaiYouzhi Liang
2020-05-10
Automatic Cross-Domain Transfer Learning for Linear Regression
Liu XinshunHe XinMao HuiLiu JingLai WeizhongYe Qingwen
2020-05-08
A Locally Adaptive Interpretable Regression
| Lkhagvadorj MunkhdalaiTsendsuren MunkhdalaiKeun Ho Ryu
2020-05-07
Prediction of Human Empathy based on EEG Cortical Asymmetry
Andrea KuijtMaryam Alimardani
2020-05-06
Outlier-Robust Clustering of Non-Spherical Mixtures
Ainesh BakshiPravesh Kothari
2020-05-06
One-step regression and classification with crosspoint resistive memory arrays
Zhong SunGiacomo PedrettiAlessandro BricalliDaniele Ielmini
2020-05-05
On the Generalization Effects of Linear Transformations in Data Augmentation
| Sen WuHongyang R. ZhangGregory ValiantChristopher Ré
2020-05-02
Generalization Error of Generalized Linear Models in High Dimensions
| Melikasadat EmamiMojtaba Sahraee-ArdakanParthe PanditSundeep RanganAlyson K. Fletcher
2020-05-01
Generalization Error for Linear Regression under Distributed Learning
Martin HellkvistAyça ÖzçelikkaleAnders Ahlén
2020-04-30
The Impact of the Mini-batch Size on the Variance of Gradients in Stochastic Gradient Descent
Xin QianDiego Klabjan
2020-04-27
ExpDNN: Explainable Deep Neural Network
Chi-Hua Chen
2020-04-26
Active Learning for Gaussian Process Considering Uncertainties with Application to Shape Control of Composite Fuselage
Xiaowei YueYuchen WenJeffrey H. HuntJianjun Shi
2020-04-23
Normalizing Flow Regression
Yonatan WoodbridgeGal ElidanAmi Wiesel
2020-04-21
Utilizing Mask R-CNN for Waterline Detection in Canoe Sprint Video Analysis
Marie-Sophie von BraunPatrick FrenzelChristian KädingMirco Fuchs
2020-04-20
Learning Entangled Single-Sample Distributions via Iterative Trimming
Hui YuanYingyu Liang
2020-04-20
Differentially Private Linear Regression over Fully Decentralized Datasets
Yang LiuXiong ZhangShuqi QinXiaoping Lei
2020-04-16
Secret Sharing based Secure Regressions with Applications
Chaochao ChenLiang LiWenjing FangJun ZhouLi WangLei WangShuang YangAlex LiuHao Wang
2020-04-10
Large-scale spatiotemporal photonic reservoir computer for image classification
Piotr AntonikNicolas MarsalDamien Rontani
2020-04-06
Exploiting context dependence for image compression with upsampling
Jarek Duda
2020-04-06
Using Machine Learning Approach for Computational Substructure in Real-Time Hybrid Simulation
Elif Ecem BasMohamed A. MoustafaDavid Feil-SeiferJanelle Blankenburg
2020-04-04
Variable fusion for Bayesian linear regression via spike-and-slab priors
Shengyi WuKaito ShimamuraKohei YoshikawaKazuaki MurayamaShuichi Kawano
2020-03-30
Obliviousness Makes Poisoning Adversaries Weaker
Sanjam GargSomesh JhaSaeed MahloujifarMohammad MahmoodyAbhradeep Thakurta
2020-03-26
Instance Credibility Inference for Few-Shot Learning
| Yikai WangChengming XuChen LiuLi ZhangYanwei Fu
2020-03-26
Dimension Independent Generalization Error with Regularized Online Optimization
Xi ChenQiang LiuXin T. Tong
2020-03-25
Logarithmic Regret Bound in Partially Observable Linear Dynamical Systems
Sahin LaleKamyar AzizzadenesheliBabak HassibiAnima Anandkumar
2020-03-25
Analysis of Greenhouse Gases
Shalin Shah
2020-03-21
Efficiently Calibrating Cable-Driven Surgical Robots with RGBD Fiducial Sensing and Recurrent Neural Networks
Minho HwangBrijen ThananjeyanSamuel ParadisDaniel SeitaJeffrey IchnowskiDanyal FerThomas LowKen Goldberg
2020-03-19
Linear Regression without Correspondences via Concave Minimization
Liangzu PengManolis C. Tsakiris
2020-03-17
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
Ziang LiuXue JiangHanbin LuoWeili FangJiajing LiuDongrui Wu
2020-03-17
Improving predictions by nonlinear regression models from outlying input data
William W. Hsieh
2020-03-17
Exploring Gaussian mixture model framework for speaker adaptation of deep neural network acoustic models
Natalia TomashenkoYuri KhokhlovYannick Esteve
2020-03-15
A Time Series Approach To Player Churn and Conversion in Videogames
Ana Fernández del RíoAnna GuitartÁfrica Periáñez
2020-03-13
Short-Term Forecasting of CO2 Emission Intensity in Power Grids by Machine Learning
Kenneth LeerbeckPeder BacherRune JunkerGoran GoranovićOlivier CorradiRazgar EbrahimyAnna TveitHenrik Madsen
2020-03-10
Optimal Regularization Can Mitigate Double Descent
Preetum NakkiranPrayaag VenkatSham KakadeTengyu Ma
2020-03-04
Weighted Encoding Based Image Interpolation With Nonlocal Linear Regression Model
Junchao Zhang
2020-03-04
An Information-Theoretic Approach to Personalized Explainable Machine Learning
Alexander JungPedro H. J. Nardelli
2020-03-01
Optimal Feature Manipulation Attacks Against Linear Regression
Fuwei LiLifeng LaiShuguang Cui
2020-02-29
Provable Meta-Learning of Linear Representations
Nilesh TripuraneniChi JinMichael I. Jordan
2020-02-26
Understanding and Mitigating the Tradeoff Between Robustness and Accuracy
Aditi RaghunathanSang Michael XieFanny YangJohn DuchiPercy Liang
2020-02-25
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
Nikunj SaunshiYi ZhangMikhail KhodakSanjeev Arora
2020-02-25
Learning From Strategic Agents: Accuracy, Improvement, and Causality
Yonadav ShavitBenjamin EdelmanBrian Axelrod
2020-02-24
Reparameterizing Mirror Descent as Gradient Descent
Ehsan AmidManfred K. Warmuth
2020-02-24
Precise Tradeoffs in Adversarial Training for Linear Regression
Adel JavanmardMahdi SoltanolkotabiHamed Hassani
2020-02-24
The Sample Complexity of Meta Sparse Regression
Zhanyu WangJean Honorio
2020-02-22
Few-Shot Learning via Learning the Representation, Provably
Simon S. DuWei HuSham M. KakadeJason D. LeeQi Lei
2020-02-21
Generalisation error in learning with random features and the hidden manifold model
Federica GeraceBruno LoureiroFlorent KrzakalaMarc MézardLenka Zdeborová
2020-02-21
Efficient Learning of Model Weights via Changing Features During Training
Marcell Beregi-KovácsÁgnes BaranAndrás Hajdu
2020-02-21
Multiscale Non-stationary Stochastic Bandits
Qin DingCho-Jui HsiehJames Sharpnack
2020-02-13
Training Two-Layer ReLU Networks with Gradient Descent is Inconsistent
| David HolzmüllerIngo Steinwart
2020-02-12
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin ChenYifei MinMingrui ZhangAmin Karbasi
2020-02-11
Vision based body gesture meta features for Affective Computing
Indigo J. D. Orton
2020-02-10
Mitigating Query-Flooding Parameter Duplication Attack on Regression Models with High-Dimensional Gaussian Mechanism
Xiaoguang LiHui LiHaonan YanZelei ChengWenhai SunHui Zhu
2020-02-06
A Regression Tsetlin Machine with Integer Weighted Clauses for Compact Pattern Representation
| K. Darshana AbeyrathnaOle-Christoffer GranmoMorten Goodwin
2020-02-04
WeatherBench: A benchmark dataset for data-driven weather forecasting
| Stephan RaspPeter D. DuebenSebastian ScherJonathan A. WeynSoukayna MouatadidNils Thuerey
2020-02-02
Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree
Peizhong JuXiaojun LinJia Liu
2020-02-02
Kernel Selection for Modal Linear Regression: Optimal Kernel and IRLS Algorithm
Ryoya YamasakiToshiyuki Tanaka
2020-01-30
Statistical Tests and Confidential Intervals as Thresholds for Quantum Neural Networks
Do Ngoc Diep
2020-01-30
Data-Driven Discovery of Coarse-Grained Equations
Joseph BakarjiDaniel M. Tartakovsky
2020-01-30
Imputation for High-Dimensional Linear Regression
Kabir Aladin ChandrasekherAhmed El AlaouiAndrea Montanari
2020-01-24
The Reciprocal Bayesian LASSO
| Himel MallickRahim AlhamzawiVladimir Svetnik
2020-01-23
Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors with Supervised Machine Learning
Wilhelm KirchgässnerOliver WallscheidJoachim Böcker
2020-01-17
Unsupervised Pool-Based Active Learning for Linear Regression
Ziang LiuDongrui Wu
2020-01-14
Backward Feature Correction: How Deep Learning Performs Deep Learning
Zeyuan Allen-ZhuYuanzhi Li
2020-01-13
Choosing the Sample with Lowest Loss makes SGD Robust
Vatsal ShahXiaoxia WuSujay Sanghavi
2020-01-10
Multi-layer Optimizations for End-to-End Data Analytics
Amir ShaikhhaMaximilian SchleichAlexandru GhitaDan Olteanu
2020-01-10
Review of Probability Distributions for Modeling Count Data
F. William Townes
2020-01-10
Stellar Property Statistics of Massive Halos from Cosmological Hydrodynamics Simulations: Common Kernel Shapes
Dhayaa AnbajaganeAugust E. EvrardArya FarahiDavid J. BarnesKlaus DolagIan G. McCarthyDylan NelsonAnnalisa Pillepich
2020-01-07
The Secret Revealer: Generative Model Inversion Attacks Against Deep Neural Networks
Anonymous
2020-01-01
Distributed Online Optimization with Long-Term Constraints
Deming YuanAlexandre ProutiereGuodong Shi
2019-12-20
Quantifying the effect of representations on task complexity
Julian ZillyLorenz HetzelAndrea CensiEmilio Frazzoli
2019-12-19
Bayesian high-dimensional linear regression with generic spike-and-slab priors
Bai JiangQiang Sun
2019-12-19
Benchmarking the Neural Linear Model for Regression
Sebastian W. OberCarl Edward Rasmussen
2019-12-18
More Data Can Hurt for Linear Regression: Sample-wise Double Descent
Preetum Nakkiran
2019-12-16
Bayesian Linear Regression on Deep Representations
John MobergLennart SvenssonJuliano PintoHenk Wymeersch
2019-12-14
Exact expressions for double descent and implicit regularization via surrogate random design
Michał DerezińskiFeynman LiangMichael W. Mahoney
2019-12-10
Improved PAC-Bayesian Bounds for Linear Regression
Vera ShalaevaAlireza Fakhrizadeh EsfahaniPascal GermainMihaly Petreczky
2019-12-06
Analysis of effectiveness of thresholding in perfusion ROI detection on T2-weighted MR images with abnormal brain anatomy
Svitlana AlkhimovaSvitlana Sliusar
2019-12-05
Trident: Efficient 4PC Framework for Privacy Preserving Machine Learning
Rahul RachuriAjith Suresh
2019-12-05
Fast Sparse Group Lasso
Yasutoshi IdaYasuhiro FujiwaraHisashi Kashima
2019-12-01
Partitioning Structure Learning for Segmented Linear Regression Trees
| Xiangyu ZhengSong Xi Chen
2019-12-01
Efficient adjustment sets for population average treatment effect estimation in non-parametric causal graphical models
Andrea RotnitzkyEzequiel Smucler
2019-12-01
Recursive Prediction of Graph Signals with Incoming Nodes
Arun VenkitaramanSaikat ChatterjeeBo Wahlberg
2019-11-26
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values
Xianfeng TangHuaxiu YaoYiwei SunCharu AggarwalPrasenjit MitraSuhang Wang
2019-11-22
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning
Tom BlauLionel OttFabio Ramos
2019-11-20
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng ZhangRuoxi JiaHengzhi PeiWenxiao WangBo LiDawn Song
2019-11-17
A Model of Double Descent for High-dimensional Binary Linear Classification
Zeyu DengAbla KammounChristos Thrampoulidis
2019-11-13
0-1 phase transitions in sparse spiked matrix estimation
Jean BarbierNicolas Macris
2019-11-12
Sparse estimation via $\ell_q$ optimization method in high-dimensional linear regression
Xin LiYaohua HuChong LiXiaoqi YangTianzi Jiang
2019-11-12
Tensor Regression Using Low-rank and Sparse Tucker Decompositions
Talal AhmedHaroon RajaWaheed U. Bajwa
2019-11-09
Missing Features Reconstruction and Its Impact on Classification Accuracy
Magda FriedjungováDaniel VašataMarcel Jiřina
2019-11-09
Explaining the Predictions of Any Image Classifier via Decision Trees
Sheng ShiXinfeng ZhangWei Fan
2019-11-04
Modelling bid-ask spread conditional distributions using hierarchical correlation reconstruction
Jarosław DudaRobert SyrekHenryk Gurgul
2019-11-04
Quantification of MagLIF morphology using the Mallat Scattering Transformation
Michael E. GlinskyThomas W. MooreWilliam E. LewisMatthew R. WeisChristopher A. JenningsDavid A. AmplefordEric C. HardingPatrick F. KnappMatthew. R. GomezSophia E. Lussiez
2019-11-01
EnergyStar++: Towards more accurate and explanatory building energy benchmarking
| Pandarasamy ArjunanKameshwar PoollaClayton Miller
2019-10-30
Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction
Steven A. HicksJorunn M. AndersenOliwia WitczakVajira ThambawitaPåll HalvorsenHugo L. HammerTrine B. HaugenMichael A. Riegler
2019-10-29
Inference in High-Dimensional Linear Regression via Lattice Basis Reduction and Integer Relation Detection
David GamarnikEren C. KızıldağIlias Zadik
2019-10-24
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
Anis ElgabliJihong ParkAmrit S. BediChaouki Ben IssaidMehdi BennisVaneet Aggarwal
2019-10-23
Prediction of Reaction Time and Vigilance Variability from Spatiospectral Features of Resting-State EEG in a Long Sustained Attention Task
Mastaneh Torkamani-AzarSumeyra Demir KanikSerap AydinMujdat Cetin
2019-10-21
First order expansion of convex regularized estimators
Pierre C BellecArun K Kuchibhotla
2019-10-12
Efficient Symmetric Norm Regression via Linear Sketching
Zhao SongRuosong WangLin F. YangHongyang ZhangPeilin Zhong
2019-10-04
A Pseudo-Likelihood Approach to Linear Regression with Partially Shuffled Data
Martin SlawskiGuoqing DiaoEmanuel Ben-David
2019-10-03
Expert2Coder: Capturing Divergent Brain Regions Using Mixture of Regression Experts
Subba Reddy OotaNaresh ManwaniRaju S. Bapi
2019-09-26
The column measure and Gradient-Free Gradient Boosting
Tino WernerPeter Ruckdeschel
2019-09-24
Tuning parameter calibration for prediction in personalized medicine
| Shih-Ting HuangYannick DürenKristoffer H. HelltonJohannes Lederer
2019-09-23
A generalization of regularized dual averaging and its dynamics
| Shih-Kang ChaoGuang Cheng
2019-09-22
Does SLOPE outperform bridge regression?
Shuaiwen WangHaolei WengArian Maleki
2019-09-20
Weighted Linear Bandits for Non-Stationary Environments
| Yoan RussacClaire VernadeOlivier Cappé
2019-09-19
Exploring linearity of deep neural network trained QSM: QSMnet+
Woojin JungJaeyeon YoonJoon Yul ChoiJae Myung KimYoonho NamEung Yeop KimJongho Lee
2019-09-17
Reproducibility of an airway tapering measurement in CT with application to bronchiectasis
Kin QuanRyutaro TannoRebecca J. ShipleyJeremy S. BrownJoseph JacobJohn R. HurstDavid J. Hawkes
2019-09-16
A Knowledge Transfer Framework for Differentially Private Sparse Learning
Lingxiao WangQuanquan Gu
2019-09-13
Super learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
Hristos TyralisGeorgia PapacharalampousAndreas Langousis
2019-09-09
A scalable constructive algorithm for the optimization of neural network architectures
Massimiliano Lupo PasiniJunqi YinYing Wai LiMarkus Eisenbach
2019-09-07
Regression-clustering for Improved Accuracy and Training Cost with Molecular-Orbital-Based Machine Learning
Lixue ChengNikola B. KovachkiMatthew WelbornThomas F. Miller III
2019-09-04
Rewarding High-Quality Data via Influence Functions
Adam RichardsonAris Filos-RatsikasBoi Faltings
2019-08-30
A Concert-planning Tool for Independent Musicians by Machine Learning Models
Xiaohan YangQingyin Ge
2019-08-29
Generalizing Psychological Similarity Spaces to Unseen Stimuli
Lucas BechbergerKai-Uwe Kühnberger
2019-08-25
A Three-Feature Model to Predict Colour Change Blindness
Steven Le MoanMarius Pedersen
2019-08-25
A deep learning model for segmentation of geographic atrophy to study its long-term natural history
Bart LiefersJohanna M. ColijnCristina González-GonzaloTimo VerzijdenPaul MitchellCarel B. HoyngBram van GinnekenCaroline C. W. KlaverClara I. Sánchez
2019-08-15
The generalization error of random features regression: Precise asymptotics and double descent curve
Song MeiAndrea Montanari
2019-08-14
Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
Emily E DillerSha CaoBeth EyRobert LoberJason G Parker
2019-08-06
Dueling Posterior Sampling for Preference-Based Reinforcement Learning
| Ellen R. NovosellerYibing WeiYanan SuiYisong YueJoel W. Burdick
2019-08-04
Method of Contraction-Expansion (MOCE) for Simultaneous Inference in Linear Models
Fei WangLing ZhouLu TangPeter X. -K. Song
2019-08-04
Risk Management via Anomaly Circumvent: Mnemonic Deep Learning for Midterm Stock Prediction
Xinyi LiYinchuan LiXiao-Yang LiuChristina Dan Wang
2019-08-03
Speech Recognition for Tigrinya language Using Deep Neural Network Approach
Hafte AberaSebsibe H/mariam
2019-08-01
Airbnb Price Prediction Using Machine Learning and Sentiment Analysis
| Pouya Rezazadeh KalehbastiLiubov NikolenkoHoormazd Rezaei
2019-07-29
Effective and efficient ROI-wise visual encoding using an end-to-end CNN regression model and selective optimization
| Kai QiaoChi ZhangJian ChenLinyuan WangLi TongBin Yan
2019-07-27
Algorithmic Analysis and Statistical Estimation of SLOPE via Approximate Message Passing
| Zhiqi BuJason KlusowskiCynthia RushWeijie Su
2019-07-17
A Two-Stage Approach to Multivariate Linear Regression with Sparsely Mismatched Data
Martin SlawskiEmanuel Ben-DavidPing Li
2019-07-16
Medical Concept Representation Learning from Claims Data and Application to Health Plan Payment Risk Adjustment
Qiu-Yue ZhongAndrew H. FairlessJasmine M. McCammonFarbod Rahmanian
2019-07-15
Warfarin dose estimation on multiple datasets with automated hyperparameter optimisation and a novel software framework
| Gianluca TrudaPatrick Marais
2019-07-11
Unbiased estimators for random design regression
Michał DerezińskiManfred K. WarmuthDaniel Hsu
2019-07-08
Copula Representations and Error Surface Projections for the Exclusive Or Problem
Roy S. Freedman
2019-07-08
On a Randomized Multi-Block ADMM for Solving Selected Machine Learning Problems
| Mingxi ZhuKresimir MihicYinyu Ye
2019-07-03
Protecting Privacy of Users in Brain-Computer Interface Applications
Anisha AgarwalRafael DowsleyNicholas D. McKinneyDongrui WuChin-Teng LinMartine De CockAnderson C. A. Nascimento
2019-07-02
Benign Overfitting in Linear Regression
Peter L. BartlettPhilip M. LongGábor LugosiAlexander Tsigler
2019-06-26
Max-Affine Regression: Provable, Tractable, and Near-Optimal Statistical Estimation
Avishek GhoshAshwin PananjadyAdityanand GuntuboyinaKannan Ramchandran
2019-06-21
Active Linear Regression
Xavier FontainePierre PerraultVianney Perchet
2019-06-20
Linear regression with stationary errors : the R package slm
Emmanuel CaronJérôme DedeckerMichel Bertrand
2019-06-15
Distributed High-dimensional Regression Under a Quantile Loss Function
Xi ChenWeidong LiuXiaojun MaoZhuoyi Yang
2019-06-13
Variance Estimation For Dynamic Regression via Spectrum Thresholding
Mark KozdobaEdward MoroshkoShie MannorKoby Crammer
2019-06-13
Bayesian experimental design using regularized determinantal point processes
Michał DerezińskiFeynman LiangMichael W. Mahoney
2019-06-10
Selection consistency of Lasso-based procedures for misspecified high-dimensional binary model and random regressors
Mariusz KubkowskiJan Mielniczuk
2019-06-10
Complex Evolution Recurrent Neural Networks (ceRNNs)
Izhak ShafranTom BagbyR. J. Skerry-Ryan
2019-06-05
On the number of variables to use in principal component regression
Ji XuDaniel Hsu
2019-06-04
JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks
Johnny TorresCarmen Vaca
2019-06-01
Robust Nonparametric Difference-in-Differences Estimation
Chen LuXinkun NieStefan Wager
2019-05-28
Parallel and Communication Avoiding Least Angle Regression
K. FountoulakisS. DasL. GrigoriM. W. MahoneyJ. Demmel
2019-05-27
What Can ResNet Learn Efficiently, Going Beyond Kernels?
Zeyuan Allen-ZhuYuanzhi Li
2019-05-24
Deep-gKnock: nonlinear group-feature selection with deep neural network
Guangyu ZhuTingting Zhao
2019-05-24
Exploring helical dynamos with machine learning
| Farrukh NaumanJoonas Nättilä
2019-05-20
Merging versus Ensembling in Multi-Study Machine Learning: Theoretical Insight from Random Effects
Zoe GuanGiovanni ParmigianiPrasad Patil
2019-05-17
A New Look at an Old Problem: A Universal Learning Approach to Linear Regression
| Koby BibasYaniv FogelMeir Feder
2019-05-12
A Scalable Learned Index Scheme in Storage Systems
Pengfei LiYu HuaPengfei ZuoJingnan Jia
2019-05-08
Characterizing the invariances of learning algorithms using category theory
Kenneth D. Harris
2019-05-06
Learning Some Popular Gaussian Graphical Models without Condition Number Bounds
Jonathan KelnerFrederic KoehlerRaghu MekaAnkur Moitra
2019-05-03
Meta-learners' learning dynamics are unlike learners'
Neil C. Rabinowitz
2019-05-03
Rethinking learning rate schedules for stochastic optimization
Rong GeSham M. KakadeRahul KidambiPraneeth Netrapalli
2019-05-01
An Exhaustive Analysis of Lazy vs. Eager Learning Methods for Real-Estate Property Investment
Setareh RafatiradMaryam Heidari
2019-05-01
Horseshoe Regularization for Machine Learning in Complex and Deep Models
Anindya BhadraJyotishka DattaYunfan LiNicholas G. Polson
2019-04-24
Objective Assessment of Social Skills Using Automated Language Analysis for Identification of Schizophrenia and Bipolar Disorder
Rohit VoletiStephanie WoolridgeJulie M. LissMelissa MilanovicChristopher R. BowieVisar Berisha
2019-04-24
Memory-Sample Tradeoffs for Linear Regression with Small Error
Vatsal SharanAaron SidfordGregory Valiant
2019-04-18
Constructing Parsimonious Analytic Models for Dynamic Systems via Symbolic Regression
| Erik DernerJiří KubalíkNicola AnconaRobert Babuška
2019-03-27
Short-term Load Forecasting at Different Aggregation Levels with Predictability Analysis
Yayu PengYishen WangXiao LuHaifeng LiDi ShiZhiwei WangJie Li
2019-03-26
Localized Linear Regression in Networked Data
Alexander JungNguyen Tran
2019-03-26
Implicit Regularization via Hadamard Product Over-Parametrization in High-Dimensional Linear Regression
Peng ZhaoYun YangQiao-Chu He
2019-03-22
Convergence of Parameter Estimates for Regularized Mixed Linear Regression Models
Taiyao WangIoannis Ch. Paschalidis
2019-03-21
Byzantine Fault Tolerant Distributed Linear Regression
Nirupam GuptaNitin H. Vaidya
2019-03-20
Adaptive Hard Thresholding for Near-optimal Consistent Robust Regression
Arun Sai SuggalaKush BhatiaPradeep RavikumarPrateek Jain
2019-03-19
Mutual Linear Regression-based Discrete Hashing
Xingbo LiuXiushan NieYilong Yin
2019-03-15
Personal Dynamic Cost-Aware Sensing for Latent Context Detection
Saar TalBracha ShapiraLior Rokach
2019-03-13
Spike-and-Slab Group Lassos for Grouped Regression and Sparse Generalized Additive Models
Ray BaiGemma E. MoranJoseph AntonelliYong ChenMary R. Boland
2019-03-05
Multiple Learning for Regression in big data
Xiang LiuZiyang TangHuyunting HuangTonglin ZhangBaijian Yang
2019-03-03
On Robustness of Principal Component Regression
Anish AgarwalDevavrat ShahDennis ShenDogyoon Song
2019-02-28
Provable Approximations for Constrained $\ell_p$ Regression
Ibrahim JubranDavid CohnDan Feldman
2019-02-27
Cross validation in sparse linear regression with piecewise continuous nonconvex penalties and its acceleration
Tomoyuki ObuchiAyaka Sakata
2019-02-27
Nonlinear generalization of the monotone single index model
| Zeljko KeretaTimo KlockValeriya Naumova
2019-02-24
Prediction of Porosity and Permeability Alteration based on Machine Learning Algorithms
Andrei ErofeevDenis OrlovAlexey RyzhovDmitry Koroteev
2019-02-18
Exponentially-Modified Gaussian Mixture Model: Applications in Spectroscopy
Sebastian AmentJohn GregoireCarla Gomes
2019-02-14
Distributed Online Linear Regression
Deming YuanAlexandre ProutiereGuodong Shi
2019-02-13
Differential Description Length for Hyperparameter Selection in Machine Learning
Mojtaba AbolfazliAnders Host-MadsenJune Zhang
2019-02-13
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy
T. Tony CaiYichen WangLinjun Zhang
2019-02-12
Iterative Least Trimmed Squares for Mixed Linear Regression
Yanyao ShenSujay Sanghavi
2019-02-10
Scalable Holistic Linear Regression
Dimitris BertsimasMichael Lingzhi Li
2019-02-08
Secure multi-party linear regression at plaintext speed
| Jonathan M. Bloom
2019-01-28
The autofeat Python Library for Automated Feature Engineering and Selection
| Franziska HornRobert PackMichael Rieger
2019-01-22
Learning Direct and Inverse Transmission Matrices
Daniele AncoraLuca Leuzzi
2019-01-15
Spatial Filtering Pipeline Evaluation of Cortically Coupled Computer Vision System for Rapid Serial Visual Presentation
Zhengwei WangGraham HealyAlan F. SmeatonTomas E. Ward
2019-01-15
Predicting Individual Responses to Vasoactive Medications in Children with Septic Shock
Nicole FrondaJessica AsencioCameron CarlinDavid LedbetterMelissa AczonRandall WetzelBarry Markovitz
2019-01-15
Variational Bayesian Weighted Complex Network Reconstruction
| Shuang XuChun-Xia ZhangPei WangJiangshe Zhang
2018-12-11
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with \beta-Divergences
Jeremias KnoblauchJack E. JewsonTheodoros Damoulas
2018-12-01
\ell_1-regression with Heavy-tailed Distributions
Lijun ZhangZhi-Hua Zhou
2018-12-01
Optimal Subsampling with Influence Functions
Daniel TingEric Brochu
2018-12-01
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Sheng ChenArindam Banerjee
2018-12-01
Model-based targeted dimensionality reduction for neuronal population data
Mikio AoiJonathan W. Pillow
2018-12-01
Scalable Hyperparameter Transfer Learning
Valerio PerroneRodolphe JenattonMatthias W. SeegerCedric Archambeau
2018-12-01
Sparse PCA from Sparse Linear Regression
Guy BreslerSung Min ParkMadalina Persu
2018-11-25
Recovery guarantees for polynomial approximation from dependent data with outliers
Lam Si Tung HoHayden SchaefferGiang TranRachel Ward
2018-11-25
Steerable Wavelet Scattering for 3D Atomic Systems with Application to Li-Si Energy Prediction
Xavier BrumwellPaul SinzKwang Jin KimYue QiMatthew Hirn
2018-11-21
Optical Flow Based Background Subtraction with a Moving Camera: Application to Autonomous Driving
Sotirios DiamantasKostas Alexis
2018-11-16
Regularised Zero-Variance Control Variates
Leah F. SouthAntonietta MiraChristopher Drovandi
2018-11-13
Scale calibration for high-dimensional robust regression
Po-Ling Loh
2018-11-06
Prediction Error Meta Classification in Semantic Segmentation: Detection via Aggregated Dispersion Measures of Softmax Probabilities
| Matthias RottmannPascal CollingThomas-Paul HackRobin ChanFabian HügerPeter SchlichtHanno Gottschalk
2018-11-01
From Gene Expression to Drug Response: A Collaborative Filtering Approach
Cheng QianNicholas D. SidiropoulosMagda AmiridiAmin Emad
2018-10-29
Comparing Multilayer Perceptron and Multiple Regression Models for Predicting Energy Use in the Balkans
Radmila JankovićAlessia Amelio
2018-10-26
Exploiting High-Level Semantics for No-Reference Image Quality Assessment of Realistic Blur Images
| Dingquan LiTingting JiangMing Jiang
2018-10-18
Hunting for Discriminatory Proxies in Linear Regression Models
Samuel YeomAnupam DattaMatt Fredrikson
2018-10-16
An algebraic-geometric approach for linear regression without correspondences
Manolis C. TsakirisLiangzu PengAldo ConcaLaurent KneipYuanming ShiHayoung Choi
2018-10-12
Global Convergence of EM Algorithm for Mixtures of Two Component Linear Regression
Jeongyeol KwonWei QianConstantine CaramanisYudong ChenDamek Davis
2018-10-12
Which Has Better Visual Quality: The Clear Blue Sky or a Blurry Animal?
| Dingquan LiTingting JiangWeisi LinMing Jiang
2018-10-11
A Unified Dynamic Approach to Sparse Model Selection
Chendi HuangYuan Yao
2018-10-08
A Machine Learning-based Recommendation System for Swaptions Strategies
Adriano Soares KoshiyamaNick FiroozyePhilip Treleaven
2018-10-04
Correcting the bias in least squares regression with volume-rescaled sampling
Michał DerezińskiManfred K. WarmuthDaniel Hsu
2018-10-04
Agnostic Sample Compression for Linear Regression
Steve HannekeAryeh KontorovichMenachem Sadigurschi
2018-10-03
Posterior Prototyping: Bridging the Gap between Bayesian Record Linkage and Regression
Andee KaplanBrenda BetancourtRebecca C. Steorts
2018-10-02
plsRglm: Partial least squares linear and generalized linear regression for processing incomplete datasets by cross-validation and bootstrap techniques with R
F. BertrandM. Maumy-Bertrand
2018-10-01
Distributed linear regression by averaging
| Edgar DobribanYue Sheng
2018-09-30
Estimate the Warfarin Dose by Ensemble of Machine Learning Algorithms
Zhiyuan MaPing WangZehui GaoRuobing WangKoroush Khalighi
2018-09-10
Characterizing the Influence of Features on Reading Difficulty Estimation for Non-native Readers
Yi-Ting HuangMeng Chang ChenYeali S. Sun
2018-08-29
The Mismatch Principle: The Generalized Lasso Under Large Model Uncertainties
Martin GenzelGitta Kutyniok
2018-08-20
Optimal stopping via reinforced regression
Denis BelomestnyJohn SchoenmakersVladimir SpokoinyBakhyt Zharkynbay
2018-08-07
Multi-Estimator Full Left Ventricle Quantification through Ensemble Learning
Jiasha LiuXiang LiHui RenQuanzheng Li
2018-08-06
Relation Induction in Word Embeddings Revisited
Zied BouraouiShoaib JameelSteven Schockaert
2018-08-01
Local Linear Forests
| Rina FriedbergJulie TibshiraniSusan AtheyStefan Wager
2018-07-30
Meta-Learning Priors for Efficient Online Bayesian Regression
| James HarrisonApoorva SharmaMarco Pavone
2018-07-24
Sign-Perturbed Sums: A New System Identification Approach for Constructing Exact Non-Asymptotic Confidence Regions in Linear Regression Models
Balázs Cs. CsájiMarco C. CampiErik Weyer
2018-07-22
The Incremental Proximal Method: A Probabilistic Perspective
Ömer Deniz AkyildizVictor ElviraJoaquin Miguez
2018-07-12
Proactive Intervention to Downtrend Employee Attrition using Artificial Intelligence Techniques
Aasheesh BarveyJitin KapilaKumarjit Pathak
2018-07-11
Tournament Based Ranking CNN for the Cataract grading
Dohyeun KimTae Joon JunDaeyoung KimYoungsub Eom
2018-07-07
Robust Inference Under Heteroskedasticity via the Hadamard Estimator
Edgar DobribanWeijie J. Su
2018-07-01
Conditional Sparse $\ell_p$-norm Regression With Optimal Probability
John HainlineBrendan JubaHai S. LeDavid Woodruff
2018-06-26
Subspace Embedding and Linear Regression with Orlicz Norm
Alexandr AndoniChengyu LinYing ShengPeilin ZhongRuiqi Zhong
2018-06-17
Efficient sampling for Gaussian linear regression with arbitrary priors
P. Richard HahnJingyu HeHedibert Lopes
2018-06-14
Direct Automated Quantitative Measurement of Spine via Cascade Amplifier Regression Network
Shumao PangStephanie LeungIlanit Ben NachumQianjin FengShuo Li
2018-06-14
Estimating Achilles tendon healing progress with convolutional neural networks
Norbert KapinskiJakub ZielinskiBartosz A. BoruckiTomasz TrzcinskiBeata Ciszkowska-LysonKrzysztof S. Nowinski
2018-06-13
A semiparametric modeling approach using Bayesian Additive Regression Trees with an application to evaluate heterogeneous treatment effects
Bret ZeldowVincent Lo Re IIIJason Roy
2018-06-11
Conditional Linear Regression
| Diego CalderonBrendan JubaSirui LiZongyi LiLisa Ruan
2018-06-06
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with $β$-Divergences
| Jeremias KnoblauchJack JewsonTheodoros Damoulas
2018-06-06
Adversarial Regression with Multiple Learners
| Liang TongSixie YuScott AlfeldYevgeniy Vorobeychik
2018-06-06
Reverse iterative volume sampling for linear regression
Michał DerezińskiManfred K. Warmuth
2018-06-06
Data-driven Localization and Estimation of Disturbance in the Interconnected Power System
Hyang-Won LeeJianan ZhangEytan Modiano
2018-06-04
Signal and Noise Statistics Oblivious Orthogonal Matching Pursuit
Sreejith KallummilSheetal Kalyani
2018-06-02
Current and Future Psychological Health Prediction using Language and Socio-Demographics of Children for the CLPysch 2018 Shared Task
Sharath Ch GuntukuraSalvatore GiorgiLyle Ungar
2018-06-01
Can adult mental health be predicted by childhood future-self narratives? Insights from the CLPsych 2018 Shared Task
Kylie RadfordLouise LavrencicRuth PetersKim KielyBen HacheyScott NowsonWill Radford
2018-06-01
Efficient Algorithms and Lower Bounds for Robust Linear Regression
Ilias DiakonikolasWeihao KongAlistair Stewart
2018-05-31
Uniform regret bounds over $R^d$ for the sequential linear regression problem with the square loss
Pierre GaillardSébastien GerchinovitzMalo HuardGilles Stoltz
2018-05-29
Optimal ridge penalty for real-world high-dimensional data can be zero or negative due to the implicit ridge regularization
| Dmitry KobakJonathan LomondBenoit Sanchez
2018-05-28
Sequential adaptive elastic net approach for single-snapshot source localization
| Muhammad Naveed TabassumEsa Ollila
2018-05-19
$\ell_1$-regression with Heavy-tailed Distributions
Lijun ZhangZhi-Hua Zhou
2018-05-02
Novel Prediction Techniques Based on Clusterwise Linear Regression
| Igor GitmanJieshi ChenEric LeiArtur Dubrawski
2018-04-28
Moving Beyond Sub-Gaussianity in High-Dimensional Statistics: Applications in Covariance Estimation and Linear Regression
Arun Kumar KuchibhotlaAbhishek Chakrabortty
2018-04-08
Stochastic EM for Shuffled Linear Regression
Abubakar AbidJames Zou
2018-04-02
Improving the Flexibility and Robustness of Model-Based Derivative-Free Optimization Solvers
Coralia CartisJan FialaBenjamin MarteauLindon Roberts
2018-03-31
AI Blue Book: Vehicle Price Prediction using Visual Features
| Richard R. YangSteven ChenEdward Chou
2018-03-29
Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA
| Matthias S. Treder
2018-03-27
Determinantal Point Processes for Coresets
Nicolas TremblaySimon BarthelméPierre-Olivier Amblard
2018-03-23
A Comprehensive Analysis of Deep Regression
| Stéphane LathuilièrePablo MesejoXavier Alameda-PinedaRadu Horaud
2018-03-22
Opposite neighborhood: a new method to select reference points of minimal learning machines
| Madson Luiz Dantas DiasLucas Silva De SousaAjalmar Rêgo da Rocha NetoAmauri H. de Souza Júnior
2018-03-22
Graph-based regularization for regression problems with alignment and highly-correlated designs
Yuan LiBenjamin MarkGarvesh RaskuttiRebecca WillettHyebin SongDavid Neiman
2018-03-20
High Dimensional Linear Regression using Lattice Basis Reduction
David GamarnikIlias Zadik
2018-03-18
Scalable Algorithms for Learning High-Dimensional Linear Mixed Models
| Zilong TanKimberly RocheXiang ZhouSayan Mukherjee
2018-03-12
Revisiting differentially private linear regression: optimal and adaptive prediction & estimation in unbounded domain
| Yu-Xiang Wang
2018-03-07
Missing Data in Sparse Transition Matrix Estimation for Sub-Gaussian Vector Autoregressive Processes
Amin JalaliRebecca Willett
2018-02-26
Spatially Constrained Location Prior for Scene Parsing
Ligang ZhangBrijesh VermaDavid StockwellSujan Chowdhury
2018-02-24
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity
Yuanzhi LiYingyu Liang
2018-02-22
On the Optimization of Deep Networks: Implicit Acceleration by Overparameterization
Sanjeev AroraNadav CohenElad Hazan
2018-02-19
Leveraged volume sampling for linear regression
Michał DerezińskiManfred K. WarmuthDaniel Hsu
2018-02-19
Articulatory information and Multiview Features for Large Vocabulary Continuous Speech Recognition
Vikramjit MitraWen WangChris BartelsHoracio FrancoDimitra Vergyri
2018-02-16
Gradient Boosting With Piece-Wise Linear Regression Trees
Yu ShiJian LiZhize Li
2018-02-15
Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks
Daphna WeinshallGad CohenDan Amir
2018-02-11
Robust and Sparse Regression in GLM by Stochastic Optimization
Takayuki KawashimaHironori Fujisawa
2018-02-09
Smart energy management as a means towards improved energy efficiency
Dylan te LindertCláudio Rebelo de SáCarlos SoaresArno J. Knobbe
2018-02-08
On the Generalizability of Linear and Non-Linear Region of Interest-Based Multivariate Regression Models for fMRI Data
Ethan C. JacksonJames Alexander HughesMark Daley
2018-02-03
Using probabilistic programs as proposals
Marco F. Cusumano-TownerVikash K. Mansinghka
2018-01-11
Least Square Error Method Robustness of Computation: What is not usually considered and taught
Vaclav Skala
2018-01-01
Estimating activity cycles with probabilistic methods I. Bayesian Generalised Lomb-Scargle Periodogram with Trend
N. OlspertJ. PeltM. J. KäpyläJ. Lehtinen
2017-12-21
Accurate Inference for Adaptive Linear Models
Yash DeshpandeLester MackeyVasilis SyrgkanisMatt Taddy
2017-12-18
A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation
Seokhyun ChungYoung Woong ParkTaesu Cheong
2017-12-12
Predicting Yelp Star Reviews Based on Network Structure with Deep Learning
Luis Perez
2017-12-11
Multiple Adaptive Bayesian Linear Regression for Scalable Bayesian Optimization with Warm Start
Valerio PerroneRodolphe JenattonMatthias SeegerCedric Archambeau
2017-12-08
Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA
Chuang WangJonathan MattinglyYue M. Lu
2017-12-08
High-dimensional robust regression and outliers detection with SLOPE
Alain VirouleauAgathe GuillouxStéphane GaïffasMalgorzata Bogdan
2017-12-07
CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification
Shih-Hung WuSu-Yu ChangLiang-Pu Chen
2017-12-01
Best Response Regression
Omer Ben-PoratMoshe Tennenholtz
2017-12-01
Consistent Robust Regression
Kush BhatiaPrateek JainParameswaran KamalarubanPurushottam Kar
2017-12-01
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji ItoDaisuke HatanoHanna SumitaAkihiro YabeTakuro FukunagaNaonori KakimuraKen-Ichi Kawarabayashi
2017-12-01
Valid Inference Corrected for Outlier Removal
| Shuxiao ChenJacob Bien
2017-11-29
Dependent relevance determination for smooth and structured sparse regression
Anqi WuOluwasanmi KoyejoJonathan W. Pillow
2017-11-28
Wisdom of the crowd from unsupervised dimension reduction
Lingfei WangTom Michoel
2017-11-28
On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
| Abien Fred Agarap
2017-11-20
Discriminant Projection Representation-based Classification for Vision Recognition
Qingxiang FengYicong Zhou
2017-11-19
Sparse High-Dimensional Linear Regression. Algorithmic Barriers and a Local Search Algorithm
David GamarnikIlias Zadik
2017-11-14
Quadratic Programming Over Ellipsoids (with Applications to Constrained Linear Regression and Tensor Decomposition)
Anh-Huy PhanMasao YamagishiDanilo MandicAndrzej Cichocki
2017-11-13
Approximate message passing for nonconvex sparse regularization with stability and asymptotic analysis
Ayaka SakataYingying Xu
2017-11-08
Auto-Differentiating Linear Algebra
Matthias SeegerAsmus HetzelZhenwen DaiEric MeissnerNeil D. Lawrence
2017-10-24
Facial Keypoints Detection
Shenghao Shi
2017-10-15
$α$-Variational Inference with Statistical Guarantees
Yun YangDebdeep PatiAnirban Bhattacharya
2017-10-09
Clickbait detection using word embeddings
Vijayasaradhi IndurthiSubba Reddy Oota
2017-10-08
Weighted-SVD: Matrix Factorization with Weights on the Latent Factors
| Hung-Hsuan Chen
2017-10-02
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic net
| Tom Michoel
2017-09-25
On Principal Components Regression, Random Projections, and Column Subsampling
Martin Slawski
2017-09-23
Weighted Orthogonal Components Regression Analysis
Xiaogang SuYaa WonkyePei WangXiangrong Yin
2017-09-13
Optimal Sub-sampling with Influence Functions
Daniel TingEric Brochu
2017-09-06
Adaptive Scaling
Ting LiBingyi JingNingchen YingXianshi Yu
2017-09-02
DMGroup at EmoInt-2017: Emotion Intensity Using Ensemble Method
Song JiangXiaotian Han
2017-09-01
The Trimmed Lasso: Sparsity and Robustness
| Dimitris BertsimasMartin S. CopenhaverRahul Mazumder
2017-08-15
Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks
| Jun XiaoHao YeXiangnan HeHanwang ZhangFei WuTat-Seng Chua
2017-08-15
Generalized Meta-Analysis for Multiple Regression Models Across Studies with Disparate Covariate Information
Prosenjit KunduRunlong TangNilanjan Chatterjee
2017-08-12
GlobeNet: Convolutional Neural Networks for Typhoon Eye Tracking from Remote Sensing Imagery
Seungkyun HongSeongchan KimMinsu JohSa-kwang Song
2017-08-11
MITRE at SemEval-2017 Task 1: Simple Semantic Similarity
John HendersonElizabeth MerkhoferLaura StrickhartGuido Zarrella
2017-08-01
UW-FinSent at SemEval-2017 Task 5: Sentiment Analysis on Financial News Headlines using Training Dataset Augmentation
| Vineet JohnOlga Vechtomova
2017-08-01
DUTH at SemEval-2017 Task 5: Sentiment Predictability in Financial Microblogging and News Articles
Symeon SymeonidisJohn KordonisDimitrios EffrosynidisAvi Arampatzis
2017-08-01
Interpatient Respiratory Motion Model Transfer for Virtual Reality Simulations of Liver Punctures
Andre MastmeyerMatthias WilmsHeinz Handels
2017-07-26
Restricted Eigenvalue from Stable Rank with Applications to Sparse Linear Regression
Shiva Prasad KasiviswanathanMark Rudelson
2017-07-25
Tailoring Artificial Neural Networks for Optimal Learning
| Pau Vilimelis AceitunoYan GangYang-Yu Liu
2017-07-08
Linguistic analysis of differences in portrayal of movie characters
Anil RamakrishnaVictor R. Mart{\'\i}nezMalNikolaos rakisKaran SinglaShrikanth Narayanan
2017-07-01
Asymptotic Confidence Regions for High-dimensional Structured Sparsity
Benjamin StuckySara van de Geer
2017-06-28
Top-down Transformation Choice
Torsten Hothorn
2017-06-26
Adaptive Feature Selection: Computationally Efficient Online Sparse Linear Regression under RIP
Satyen KaleZohar KarninTengyuan LiangDávid Pál
2017-06-14
Collect at Once, Use Effectively: Making Non-interactive Locally Private Learning Possible
Kai ZhengWenlong MouLiwei Wang
2017-06-11
A Robust Learning Algorithm for Regression Models Using Distributionally Robust Optimization under the Wasserstein Metric
Ruidi ChenIoannis Ch. Paschalidis
2017-06-07
Exact adaptive confidence intervals for linear regression coefficients
Peter D. HoffChaoyu Yu
2017-05-23
Maximum Margin Principal Components
Xianghui LuoRobert J. Durrant
2017-05-17
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent
Yudong ChenLili SuJiaming Xu
2017-05-16
Mind the Gap: A Well Log Data Analysis
Rui L. LopesAlípio Jorge
2017-05-10
Linear Regression with Shuffled Labels
Abubakar AbidAda PoonJames Zou
2017-05-03
Structured Sparse Modelling with Hierarchical GP
Danil KuzinOlga IsupovaLyudmila Mihaylova
2017-04-27
A Flexible Framework for Hypothesis Testing in High-dimensions
Adel JavanmardJason D. Lee
2017-04-26
Denoising Linear Models with Permuted Data
Ashwin PananjadyMartin J. WainwrightThomas A. Courtade
2017-04-24
Solar Power Forecasting Using Support Vector Regression
Mohamed AbuellaBadrul Chowdhury
2017-03-29
Multivariate Regression with Gross Errors on Manifold-valued Data
Xiaowei ZhangXudong ShiYu SunLi Cheng
2017-03-26
Cross-Validation with Confidence
| Jing Lei
2017-03-23
Alternating optimization for GxE modelling with weighted genetic and environmental scores: examples from the MAVAN study
Alexia Jolicoeur-MartineauAshley WazanaEszter SzekelyMeir SteinerAlison S. FlemingJames L. KennedyMichael J. MeaneyCelia M. T. Greenwood
2017-03-23
Tuning Free Orthogonal Matching Pursuit
Sreejith KallummilSheetal Kalyani
2017-03-15
Fuzzy Model Tree For Early Effort Estimation
Mohammad AzzehAli Bou Nassif
2017-03-11
Memory-Efficient Global Refinement of Decision-Tree Ensembles and its Application to Face Alignment
Nenad MarkušIvan GogićIgor S. PandžićJörgen Ahlberg
2017-02-27
SAGA and Restricted Strong Convexity
Chao QuYan LiHuan Xu
2017-02-19
Machine learning prediction errors better than DFT accuracy
Felix A. FaberLuke HutchisonBing HuangJustin GilmerSamuel S. SchoenholzGeorge E. DahlOriol VinyalsSteven KearnesPatrick F. RileyO. Anatole von Lilienfeld
2017-02-17
Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates
Yining WangJialei WangSivaraman BalakrishnanAarti Singh
2017-02-09
On SGD's Failure in Practice: Characterizing and Overcoming Stalling
Vivak Patel
2017-02-01
Subset Selection for Multiple Linear Regression via Optimization
Young Woong ParkDiego Klabjan
2017-01-27
Identifying Nonlinear 1-Step Causal Influences in Presence of Latent Variables
Saber SalehkaleybarJalal EtesamiNegar Kiyavash
2017-01-23
Efficient and Adaptive Linear Regression in Semi-Supervised Settings
Abhishek ChakraborttyTianxi Cai
2017-01-17
High-Dimensional Regression with Binary Coefficients. Estimating Squared Error and a Phase Transition
David GamarnikIlias Zadik
2017-01-16
Symbolic Regression Algorithms with Built-in Linear Regression
Jan ŽegklitzPetr Pošík
2017-01-13
Multivariate Regression with Grossly Corrupted Observations: A Robust Approach and its Applications
Xiaowei ZhangChi XuYu ZhangTingshao ZhuLi Cheng
2017-01-11
Smart Content Recognition from Images Using a Mixture of Convolutional Neural Networks
| Tee ConnieMundher Al-ShabiMichael Goh
2016-12-30
Geometric descent method for convex composite minimization
Shixiang ChenShiqian MaWei Liu
2016-12-29
A Convex Program for Mixed Linear Regression with a Recovery Guarantee for Well-Separated Data
Paul HandBabhru Joshi
2016-12-19
Measuring the non-asymptotic convergence of sequential Monte Carlo samplers using probabilistic programming
Marco F. Cusumano-TownerVikash K. Mansinghka
2016-12-07
Combinatorial semi-bandit with known covariance
Rémy DegenneVianney Perchet
2016-12-06
A Recurrent and Compositional Model for Personality Trait Recognition from Short Texts
Fei LiuJulien PerezScott Nowson
2016-12-01
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings
Mohammed AttiaSuraj MaharjanYounes SamihLaura KallmeyerThamar Solorio
2016-12-01
Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Pad{\'o}Aur{\'e}lie HerbelotMax KisselewJan {\v{S}}najder
2016-12-01
GAP Safe Screening Rules for Sparse-Group Lasso
| Eugene NdiayeOlivier FercoqAlexandre GramfortJoseph Salmon
2016-12-01
A Bandit Framework for Strategic Regression
Yang LiuYiling Chen
2016-12-01
Mixed Linear Regression with Multiple Components
Kai ZhongPrateek JainInderjit S. Dhillon
2016-12-01
The Limits of Learning with Missing Data
Brian BullinsElad HazanTomer Koren
2016-12-01
Scalable Approximations for Generalized Linear Problems
Murat A. ErdogduMohsen BayatiLee H. Dicker
2016-11-21
Convolutional Regression for Visual Tracking
Kai ChenWenbing Tao
2016-11-14
Unsupervised Learning For Effective User Engagement on Social Media
Thai PhamCamelia Simoiu
2016-11-11
Adaptive regularization for Lasso models in the context of non-stationary data streams
Ricardo Pio MontiChristoforos AnagnostopoulosGiovanni Montana
2016-10-28
A Language-independent and Compositional Model for Personality Trait Recognition from Short Texts
Fei LiuJulien PerezScott Nowson
2016-10-14
A Study on Estimating the Next Failure Time of Compressor Equipment in an Offshore Plant
SangJe ChoJong-Ho ShinHong-Bae JunHo-Jin HwangChunghun HaJinsang Hwang
2016-10-03
On Randomized Distributed Coordinate Descent with Quantized Updates
Mostafa El GamalLifeng Lai
2016-09-18
Online Feature Selection with Group Structure Analysis
Jing WangMeng WangPeipei LiLuoqi LiuZhongqiu ZhaoXuegang HuXindong Wu
2016-08-21
Conditional Sparse Linear Regression
Brendan Juba
2016-08-18
Variational Mixture Models with Gamma or inverse-Gamma components
| A. LleraD. VidaurreR. H. R. PruimC. F. Beckmann
2016-07-26
Algorithms for Generalized Cluster-wise Linear Regression
Young Woong ParkYan JiangDiego KlabjanLoren Williams
2016-07-05
Group Sparse Regularization for Deep Neural Networks
Simone ScardapaneDanilo ComminielloAmir HussainAurelio Uncini
2016-07-02
Semi-supervised structured output prediction by local linear regression and sub-gradient descent
Ru-Ze LiangWei XieWeizhi LiXin DuJim Jing-Yan WangJingbin Wang
2016-06-07
PAC-Bayesian Theory Meets Bayesian Inference
Pascal GermainFrancis BachAlexandre LacosteSimon Lacoste-Julien
2016-05-27
Bayesian linear regression with Student-t assumptions
Chaobing SongShu-Tao Xia
2016-04-15
Learning Hough Regression Models via Bridge Partial Least Squares for Object Detection
Jianyu TangHanzi WangYan Yan
2016-03-26
On the exact recovery of sparse signals via conic relaxations
Hongbo Dong
2016-03-15
Template Matching via Densities on the Roto-Translation Group
Erik J. BekkersMarco LoogBart M. ter Haar RomenyRemco Duits
2016-03-10
Online Sparse Linear Regression
Dean FosterSatyen KaleHoward Karloff
2016-03-07
Lasso estimation for GEFCom2014 probabilistic electric load forecasting
Florian ZielBidong Liu
2016-03-04
GAP Safe Screening Rules for Sparse-Group-Lasso
| Eugene NdiayeOlivier FercoqAlexandre GramfortJoseph Salmon
2016-02-19
The knockoff filter for FDR control in group-sparse and multitask regression
Ran DaiRina Foygel Barber
2016-02-11
Online Active Linear Regression via Thresholding
Carlos RiquelmeRamesh JohariBaosen Zhang
2016-02-09
A Robust UCB Scheme for Active Learning in Regression from Strategic Crowds
Divya PadmanabhanSatyanath BhatDinesh GargShirish ShevadeY. Narahari
2016-01-25
ActiveClean: Interactive Data Cleaning While Learning Convex Loss Models
Sanjay KrishnanJiannan WangEugene WuMichael J. FranklinKen Goldberg
2016-01-15
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
Yining WangAdams Wei YuAarti Singh
2016-01-09
On the Differential Privacy of Bayesian Inference
Zuhe ZhangBenjamin RubinsteinChristos Dimitrakakis
2015-12-22
Selective Sequential Model Selection
William FithianJonathan TaylorRobert TibshiraniRyan Tibshirani
2015-12-08
Random Forests for Big Data
Robin GenuerJean-Michel PoggiChristine Tuleau-MalotNathalie Villa-Vialaneix
2015-11-26
Optimized Linear Imputation
Yehezkel S. ResheffDaphna Weinshall
2015-11-17
Lass-0: sparse non-convex regression by local search
William HerlandsMaria De-ArteagaDaniel NeillArtur Dubrawski
2015-11-13
Streaming regularization parameter selection via stochastic gradient descent
Ricardo Pio MontiRomy LorenzRobert LeechChristoforos AnagnostopoulosGiovanni Montana
2015-11-06
On the complexity of switching linear regression
Fabien Lauer
2015-10-23
Decadal climate predictions using sequential learning algorithms
Ehud StrobachGolan Bel
2015-09-17
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias
Yohei KondoKohei HayashiShin-ichi Maeda
2015-09-03
A Gibbs Sampler for Multivariate Linear Regression
Adam B. Mantz
2015-09-03
Online Supervised Subspace Tracking
Yao XieRuiyang SongHanjun DaiQingbin LiLe Song
2015-09-01
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation
Ali Bou NassifMohammad AzzehLuiz Fernando CapretzDanny Ho
2015-08-28
The Discrete Dantzig Selector: Estimating Sparse Linear Models via Mixed Integer Linear Optimization
Rahul MazumderPeter Radchenko
2015-08-08
Robust and sparse estimators for linear regression models
Ezequiel SmuclerVíctor J. Yohai
2015-08-08
Best Subset Selection via a Modern Optimization Lens
Dimitris BertsimasAngela KingRahul Mazumder
2015-07-11
Differentially Private Ordinary Least Squares
Or Sheffet
2015-07-09
Portfolio optimization using local linear regression ensembles in RapidMiner
Gabor NagyGergo BartaTamas Henk
2015-06-29
Modality-dependent Cross-media Retrieval
Yunchao WeiYao ZhaoZhenfeng ZhuShikui WeiYanhui XiaoJiashi FengShuicheng Yan
2015-06-22
On the Computational Complexity of High-Dimensional Bayesian Variable Selection
Yun YangMartin J. WainwrightMichael I. Jordan
2015-05-29
Supervised Learning for Dynamical System Learning
Ahmed HefnyCarlton DowneyGeoffrey Gordon
2015-05-20
A New Perspective on Boosting in Linear Regression via Subgradient Optimization and Relatives
Robert M. FreundPaul GrigasRahul Mazumder
2015-05-16
Linearly Supporting Feature Extraction For Automated Estimation Of Stellar Atmospheric Parameters
Xiangru LiYu LuGeorges ComteAli LuoYongheng ZhaoYongjun Wang
2015-04-09
Asymmetric Distributions from Constrained Mixtures
Conrado S. MirandaFernando J. Von Zuben
2015-03-22
Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images
Tales ImbiribaJosé Carlos Moreira BermudezCédric RichardJean-Yves Tourneret
2015-03-18
Improved Calibration of Near-Infrared Spectra by Using Ensembles of Neural Network Models
A. UkilJ. BernasconiH. BraendleH. BuijsS. Bonenfant
2015-03-18
Maximum a Posteriori Adaptation of Network Parameters in Deep Models
Zhen HuangSabato Marco SiniscalchiI-Fan ChenJiadong WuChin-Hui Lee
2015-03-06
Finding Dantzig selectors with a proximity operator based fixed-point algorithm
Ashley PraterLixin ShenBruce W. Suter
2015-02-19
Per-Block-Convex Data Modeling by Accelerated Stochastic Approximation
Konstantinos SlavakisGeorgios B. Giannakis
2015-01-29
Minimax Optimal Sparse Signal Recovery with Poisson Statistics
Mohammad H. RohbanDelaram MotamedvaziriVenkatesh Saligrama
2015-01-21
Separation of undersampled composite signals using the Dantzig selector with overcomplete dictionaries
Ashley PraterLixin Shen
2015-01-20
Implementable confidence sets in high dimensional regression
Alexandra Carpentier
2015-01-19
HyperSpectral classification with adaptively weighted L1-norm regularization and spatial postprocessing
Victor Stefan Aldea
2014-12-08
Sparse Bayesian structure learning with “dependent relevance determination” priors
Anqi WuMijung ParkOluwasanmi O. KoyejoJonathan W. Pillow
2014-12-01
On Sparse Gaussian Chain Graph Models
Calvin MccarterSeyoung Kim
2014-12-01
Distributed Bayesian Posterior Sampling via Moment Sharing
Minjie XuBalaji LakshminarayananYee Whye TehJun ZhuBo Zhang
2014-12-01
Private Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry
| Kunal TalwarAbhradeep ThakurtaLi Zhang
2014-11-20
Multivariate response and parsimony for Gaussian cluster-weighted models
Utkarsh J. DangAntonio PunzoPaul D. McNicholasSalvatore IngrassiaRyan P. Browne
2014-11-03
Population Empirical Bayes
| Alp KucukelbirDavid M. Blei
2014-11-02
On Iterative Hard Thresholding Methods for High-dimensional M-Estimation
Prateek JainAmbuj TewariPurushottam Kar
2014-10-20
Augmented Neural Networks for Modelling Consumer Indebtness
Alexandros LadasJonathan M. GaribaldiRodrigo ScarpelUwe Aickelin
2014-09-03
Large Scale Purchase Prediction with Historical User Actions on B2C Online Retail Platform
Yuyu ZhangLiang PangLei ShiBin Wang
2014-08-27
Statistical guarantees for the EM algorithm: From population to sample-based analysis
Sivaraman BalakrishnanMartin J. WainwrightBin Yu
2014-08-09
RAPID: Rapidly Accelerated Proximal Gradient Algorithms for Convex Minimization
Ziming ZhangVenkatesh Saligrama
2014-06-13
Discriminative Functional Connectivity Measures for Brain Decoding
Orhan FiratMete OzayIlke OztekinFatos T. Yarman Vural
2014-02-23
Retrieval of Experiments by Efficient Estimation of Marginal Likelihood
Sohan SethJohn Shawe-TaylorSamuel Kaski
2014-02-19
Monte Carlo Simulation for Lasso-Type Problems by Estimator Augmentation
Qing Zhou
2014-01-17
Use Case Point Approach Based Software Effort Estimation using Various Support Vector Regression Kernel Methods
Shashank Mouli SatapathySantanu Kumar Rath
2014-01-14
Inference in High Dimensions with the Penalized Score Test
Arend VoormanAli ShojaieDaniela Witten
2014-01-12
Learning optimization models in the presence of unknown relations
Sicco VerwerYingqian ZhangQing Chuan Ye
2014-01-06
Unsupervised Discovery of Biographical Structure from Text
David BammanNoah A. Smith
2014-01-01
Supervised learning of a regression model based on latent process. Application to the estimation of fuel cell life time
Raïssa OnanenaFaicel ChamroukhiLatifa OukhellouDenis CandussoPatrice AkninDaniel Hissel
2013-12-25
Modèle à processus latent et algorithme EM pour la régression non linéaire
Faicel ChamroukhiAllou SaméGérard GovaertPatrice Aknin
2013-12-25
Performance Analysis Of Regularized Linear Regression Models For Oxazolines And Oxazoles Derivitive Descriptor Dataset
DoreswamyChanabasayya . M. Vastrad
2013-12-10
Swapping Variables for High-Dimensional Sparse Regression with Correlated Measurements
Divyanshu VatsRichard G. Baraniuk
2013-12-05
Information-theoretic lower bounds for distributed statistical estimation with communication constraints
Yuchen ZhangJohn DuchiMichael I. JordanMartin J. Wainwright
2013-12-01
A Comprehensive Approach to Universal Piecewise Nonlinear Regression Based on Trees
N. Denizcan VanliSuleyman S. Kozat
2013-11-25
When Does More Regularization Imply Fewer Degrees of Freedom? Sufficient Conditions and Counter Examples from Lasso and Ridge Regression
Shachar KaufmanSaharon Rosset
2013-11-12
Regularization of $\ell_1$ minimization for dealing with outliers and noise in Statistics and Signal Recovery
Salvador FloresLuis M. Briceno-Arias
2013-10-28
Alternating Minimization for Mixed Linear Regression
Xinyang YiConstantine CaramanisSujay Sanghavi
2013-10-14
Linear Regression from Strategic Data Sources
Nicolas GastStratis IoannidisPatrick LoiseauBenjamin Roussillon
2013-09-30
Learning from the past, predicting the statistics for the future, learning an evolving system
Daniel LevinTerry LyonsHao Ni
2013-09-01
Confidence Sets Based on Thresholding Estimators in High-Dimensional Gaussian Regression Models
Ulrike Schneider
2013-08-14
Sharp Threshold for Multivariate Multi-Response Linear Regression via Block Regularized Lasso
Weiguang WangYingbin LiangEric P. Xing
2013-07-30
Loss minimization and parameter estimation with heavy tails
Daniel HsuSivan Sabato
2013-07-07
A Statistical Perspective on Algorithmic Leveraging
Ping MaMichael W. MahoneyBin Yu
2013-06-23
Spectral Experts for Estimating Mixtures of Linear Regressions
Arun Tejasvi ChagantyPercy Liang
2013-06-17
Confidence Intervals and Hypothesis Testing for High-Dimensional Regression
Adel JavanmardAndrea Montanari
2013-06-13
Analytic Feature Selection for Support Vector Machines
Carly StambaughHui YangFelix Breuer
2013-04-20
Distributed dictionary learning over a sensor network
Pierre ChainaisCédric Richard
2013-04-12
Feature Multi-Selection among Subjective Features
Sivan SabatoAdam Kalai
2013-02-18
A significance test for the lasso
Richard LockhartJonathan TaylorRyan J. TibshiraniRobert Tibshirani
2013-01-30
Hypothesis Testing in High-Dimensional Regression under the Gaussian Random Design Model: Asymptotic Theory
Adel JavanmardAndrea Montanari
2013-01-17
Optimal classification in sparse Gaussian graphic model
Yingying FanJiashun JinZhigang Yao
2012-12-21
Fixed-rank matrix factorizations and Riemannian low-rank optimization
B. MishraG. MeyerS. BonnabelR. Sepulchre
2012-09-03
Optimality of Graphlet Screening in High Dimensional Variable Selection
Jiashun JinCun-Hui ZhangQi Zhang
2012-04-29
Adaptive and optimal online linear regression on $\ell^1$-balls
Sébastien GerchinovitzJia Yuan Yu
2011-05-20
Sparsity regret bounds for individual sequences in online linear regression
Sébastien Gerchinovitz
2011-01-05
Fast global convergence rates of gradient methods for high-dimensional statistical recovery
Alekh AgarwalSahand NegahbanMartin J. Wainwright
2010-12-01
Parametric Bandits: The Generalized Linear Case
Sarah FilippiOlivier CappeAurélien GarivierCsaba Szepesvári
2010-12-01
A Dirty Model for Multi-task Learning
Ali JalaliSujay SanghaviChao RuanPradeep K. Ravikumar
2010-12-01
A Family of Penalty Functions for Structured Sparsity
Jean MoralesCharles A. MicchelliMassimiliano Pontil
2010-12-01
Directed Regression
Yi-Hao KaoBenjamin V. RoyXiang Yan
2009-12-01
Heterogeneous multitask learning with joint sparsity constraints
Xiaolin YangSeyoung KimEric P. Xing
2009-12-01
A Fast Algorithm for Robust Regression with Penalised Trimmed Squares
L. PitsoulisG. Zioutas
2009-01-07
Modeling human function learning with Gaussian processes
Thomas L. GriffithsChris LucasJoseph WilliamsMichael L. Kalish
2008-12-01
Phase transitions for high-dimensional joint support recovery
Sahand NegahbanMartin J. Wainwright
2008-12-01
Bolasso: model consistent Lasso estimation through the bootstrap
| Francis Bach
2008-04-08
Online Linear Regression and Its Application to Model-Based Reinforcement Learning
Alexander L. StrehlMichael L. Littman
2007-12-01
Spike and slab variable selection: Frequentist and Bayesian strategies
Hemant IshwaranJ. Sunil Rao
2005-05-30

Tasks

TASK PAPERS SHARE
Time Series 15 6.76%
Feature Selection 8 3.60%
Active Learning 7 3.15%
Image Classification 7 3.15%
EEG 6 2.70%
Meta-Learning 6 2.70%
Imputation 6 2.70%
Feature Engineering 6 2.70%
Dimensionality Reduction 6 2.70%

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