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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...
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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...
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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...
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03/06/2022
A Better Computational Framework for L_2E Regression
Building on previous research of Chi and Chi (2022), the current paper r...
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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 ...
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11/30/2021
A Convex-Nonconvex Strategy for Grouped Variable Selection
This paper deals with the grouped variable selection problem. A widely u...
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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...
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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...
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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...
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10/16/2018
Co-manifold learning with missing data
Representation learning is typically applied to only one mode of a data ...
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06/28/2018
Recovering Trees with Convex Clustering
Convex clustering refers, for given {x_1, ..., x_n}⊂^p, to the minimizat...
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03/17/2018
Provable Convex Co-clustering of Tensors
Cluster analysis is a fundamental tool for pattern discovery of complex ...
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11/03/2017
Generalized Linear Model Regression under Distance-to-set Penalties
Estimation in generalized linear models (GLM) is complicated by the pres...
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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...
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08/05/2014
Convex Biclustering
In the biclustering problem, we seek to simultaneously group observation...
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04/01/2013
Splitting Methods for Convex Clustering
Clustering is a fundamental problem in many scientific applications. Sta...
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11/16/2012
Distance Majorization and Its Applications
The problem of minimizing a continuously differentiable convex function ...
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09/28/2011
