Eric C. Chi | DeepAI

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∙ 04/27/2023

A Majorization-Minimization Gauss-Newton Method for 1-Bit Matrix Completion

In 1-bit matrix completion, the aim is to estimate an underlying low-ran...

0 Xiaoqian Liu, et al. ∙

∙ 08/25/2022

Tucker-L_2E: Robust Low-rank Tensor Decomposition with the L_2 Criterion

The growing prevalence of tensor data, or multiway arrays, in science an...

0 Qiang Heng, et al. ∙

∙ 05/15/2022

Proximal MCMC for Bayesian Inference of Constrained and Regularized Estimation

This paper advocates proximal Markov Chain Monte Carlo (ProxMCMC) as a f...

0 Xinkai Zhou, et al. ∙

∙ 03/06/2022

A Better Computational Framework for L_2E Regression

Building on previous research of Chi and Chi (2022), the current paper r...

0 Xiaoqian Liu, et al. ∙

∙ 01/01/2022

Bayesian Trend Filtering via Proximal Markov Chain Monte Carlo

Proximal Markov Chain Monte Carlo is a novel construct that lies at the ...

0 Qiang Heng, et al. ∙

∙ 11/30/2021

A Convex-Nonconvex Strategy for Grouped Variable Selection

This paper deals with the grouped variable selection problem. A widely u...

0 Xiaoqian Liu, et al. ∙

∙ 10/08/2020

A User-Friendly Computational Framework for Robust Structured Regression Using the L_2 Criterion

We introduce a user-friendly computational framework for implementing ro...

0 Jocelyn T. Chi, et al. ∙

∙ 06/30/2020

Multi-way Graph Signal Processing on Tensors: Integrative analysis of irregular geometries

Graph signal processing (GSP) is an important methodology for studying a...

0 Jay S. Stanley III, et al. ∙

∙ 04/24/2019

Baseline Drift Estimation for Air Quality Data Using Quantile Trend Filtering

We address the problem of estimating smoothly varying baseline trends in...

0 Halley L. Brantley, et al. ∙

∙ 10/16/2018

Co-manifold learning with missing data

Representation learning is typically applied to only one mode of a data ...

0 Gal Mishne, et al. ∙

∙ 06/28/2018

Recovering Trees with Convex Clustering

Convex clustering refers, for given {x_1, ..., x_n}⊂^p, to the minimizat...

0 Eric C. Chi, et al. ∙

∙ 03/17/2018

Provable Convex Co-clustering of Tensors

Cluster analysis is a fundamental tool for pattern discovery of complex ...

0 Eric C. Chi, et al. ∙

∙ 11/03/2017

Generalized Linear Model Regression under Distance-to-set Penalties

Estimation in generalized linear models (GLM) is complicated by the pres...

0 Jason Xu, et al. ∙

∙ 08/16/2016

Shape Constrained Tensor Decompositions using Sparse Representations in Over-Complete Libraries

We consider N-way data arrays and low-rank tensor factorizations where t...

0 Bethany Lusch, et al. ∙

∙ 08/05/2014

Convex Biclustering

In the biclustering problem, we seek to simultaneously group observation...

0 Eric C. Chi, et al. ∙

∙ 04/01/2013

Splitting Methods for Convex Clustering

Clustering is a fundamental problem in many scientific applications. Sta...

0 Eric C. Chi, et al. ∙

∙ 11/16/2012

Distance Majorization and Its Applications

The problem of minimizing a continuously differentiable convex function ...

0 Eric C. Chi, et al. ∙

∙ 09/28/2011

Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion

We investigate a robust penalized logistic regression algorithm based on...

0 Eric C. Chi, et al. ∙

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