
A UserFriendly Computational Framework for Robust Structured Regression Using the L_2 Criterion
We introduce a userfriendly computational framework for implementing ro...
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Multiway 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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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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Comanifold learning with missing data
Representation learning is typically applied to only one mode of a data ...
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Recovering Trees with Convex Clustering
Convex clustering refers, for given {x_1, ..., x_n}⊂^p, to the minimizat...
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Provable Convex Coclustering of Tensors
Cluster analysis is a fundamental tool for pattern discovery of complex ...
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Generalized Linear Model Regression under Distancetoset Penalties
Estimation in generalized linear models (GLM) is complicated by the pres...
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Shape Constrained Tensor Decompositions using Sparse Representations in OverComplete Libraries
We consider Nway data arrays and lowrank tensor factorizations where t...
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Convex Biclustering
In the biclustering problem, we seek to simultaneously group observation...
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Splitting Methods for Convex Clustering
Clustering is a fundamental problem in many scientific applications. Sta...
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Distance Majorization and Its Applications
The problem of minimizing a continuously differentiable convex function ...
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Robust Parametric Classification and Variable Selection by a Minimum Distance Criterion
We investigate a robust penalized logistic regression algorithm based on...
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Eric C. Chi
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