885 citations · 3.5k across the 45 of their papers we have counts for
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Model Selection over Partially Ordered Sets
Armeen Taeb, Peter Bühlmann, Venkat Chandrasekaran
In problems such as variable selection and graph estimation, models are characterized by Boolean logical structure such as presence or absence of a variable or an edge. Consequentl…
False Discovery and Its Control in Low Rank Estimation
Armeen Taeb, Parikshit Shah, Venkat Chandrasekaran
Models specified by low-rank matrices are ubiquitous in contemporary applications. In many of these problem domains, the row/column space structure of a low-rank matrix carries inf…
Interpreting Latent Variables in Factor Models via Convex Optimization
Armeen Taeb, Venkat Chandrasekaran
Latent or unobserved phenomena pose a significant difficulty in data analysis as they induce complicated and confounding dependencies among a collection of observed variables. Fact…
Sufficient Dimension Reduction and Modeling Responses Conditioned on Covariates: An Integrated Approach via Convex Optimization
Armeen Taeb, Venkat Chandrasekaran
Given observations of a collection of covariates and responses , sufficient dimension reduction (SDR) techniques aim to identify a mapp…