Search Results for author: Jason Xu

Found 10 papers, 3 papers with code

Community Detection in Weighted Multilayer Networks with Ambient Noise

1 code implementation24 Feb 2021 Mark He, Dylan Lu, Jason Xu, Rose Mary Xavier

We introduce a novel class of stochastic blockmodel for multilayer weighted networks that accounts for the presence of a global ambient noise governing between-block interactions.

Community Detection Variational Inference

Kernel k-Means, By All Means: Algorithms and Strong Consistency

no code implementations12 Nov 2020 Debolina Paul, Saptarshi Chakraborty, Swagatam Das, Jason Xu

We show the method implicitly performs annealing in kernel feature space while retaining efficient, closed-form updates, and we rigorously characterize its convergence properties both from computational and statistical points of view.

Simple and Scalable Sparse k-means Clustering via Feature Ranking

1 code implementation NeurIPS 2020 Zhiyue Zhang, Kenneth Lange, Jason Xu

In this paper, we propose a novel framework for sparse k-means clustering that is intuitive, simple to implement, and competitive with state-of-the-art algorithms.

Entropy Regularized Power k-Means Clustering

1 code implementation10 Jan 2020 Saptarshi Chakraborty, Debolina Paul, Swagatam Das, Jason Xu

Despite its well-known shortcomings, $k$-means remains one of the most widely used approaches to data clustering.

Structural Risk Minimization for $C^{1,1}(\mathbb{R}^d)$ Regression

no code implementations29 Mar 2018 Adam Gustafson, Matthew Hirn, Kitty Mohammed, Hariharan Narayanan, Jason Xu

Recently, the following smooth function approximation problem was proposed: given a finite set $E \subset \mathbb{R}^d$ and a function $f: E \rightarrow \mathbb{R}$, interpolate the given information with a function $\widehat{f} \in \dot{C}^{1, 1}(\mathbb{R}^d)$ (the class of first-order differentiable functions with Lipschitz gradients) such that $\widehat{f}(a) = f(a)$ for all $a \in E$, and the value of $\mathrm{Lip}(\nabla \widehat{f})$ is minimal.

Automatic Conflict Detection in Police Body-Worn Audio

no code implementations14 Nov 2017 Alistair Letcher, Jelena Trišović, Collin Cademartori, Xi Chen, Jason Xu

Automatic conflict detection has grown in relevance with the advent of body-worn technology, but existing metrics such as turn-taking and overlap are poor indicators of conflict in police-public interactions.

Generalized Linear Model Regression under Distance-to-set Penalties

no code implementations NeurIPS 2017 Jason Xu, Eric C. Chi, Kenneth Lange

Estimation in generalized linear models (GLM) is complicated by the presence of constraints.

An MM Algorithm for Split Feasibility Problems

no code implementations16 Dec 2016 Jason Xu, Eric C. Chi, Meng Yang, Kenneth Lange

Furthermore, we show that the Euclidean norm appearing in the proximity function of the non-linear split feasibility problem can be replaced by arbitrary Bregman divergences.

Stochastic Variational Inference for Hidden Markov Models

no code implementations NeurIPS 2014 Nicholas J. Foti, Jason Xu, Dillon Laird, Emily B. Fox

Variational inference algorithms have proven successful for Bayesian analysis in large data settings, with recent advances using stochastic variational inference (SVI).

Stochastic Optimization Variational Inference

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