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Showing 2013 · stat.MLShow all
2 papers · 2 filters
stat.ML2013★ 3 cited
Bayesian Compressed Regression
Rajarshi Guhaniyogi, David B. Dunson
As an alternative to variable selection or shrinkage in high dimensional regression, we propose to randomly compress the predictors prior to analysis. This dramatically reduces sto…
stat.ML2013★ 17 cited
Dynamical Models and Tracking Regret in Online Convex Programming
Eric C. Hall, Rebecca M. Willett
This paper describes a new online convex optimization method which incorporates a family of candidate dynamical models and establishes novel tracking regret bounds that scale with…