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08/20/2023
Model Selection over Partially Ordered Sets
In problems such as variable selection and graph estimation, models are ...
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12/27/2022
Optimal Convex and Nonconvex Regularizers for a Data Source
In optimization-based approaches to inverse problems and to statistical ...
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07/07/2022
Kronecker Product Approximation of Operators in Spectral Norm via Alternating SDP
The decomposition or approximation of a linear operator on a matrix spac...
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10/27/2021
Spectrahedral Regression
Convex regression is the problem of fitting a convex function to a data ...
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10/19/2020
Learning Exponential Family Graphical Models with Latent Variables using Regularized Conditional Likelihood
Fitting a graphical model to a collection of random variables given samp...
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04/18/2019
Convex Graph Invariant Relaxations For Graph Edit Distance
The edit distance between two graphs is a widely used measure of similar...
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03/11/2019
Fitting Tractable Convex Sets to Support Function Evaluations
The geometric problem of estimating an unknown compact convex set from e...
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10/19/2018
False Discovery and Its Control in Low Rank Estimation
Models specified by low-rank matrices are ubiquitous in contemporary app...
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01/05/2017
A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers
Regularization techniques are widely employed in optimization-based appr...
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11/05/2012
Rejoinder: Latent variable graphical model selection via convex optimization
Rejoinder to "Latent variable graphical model selection via convex optim...
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06/13/2012
Complexity of Inference in Graphical Models
It is well-known that inference in graphical models is hard in the worst...
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05/10/2011