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12/03/2019
Decentralised Sparse Multi-Task Regression
We consider a sparse multi-task regression framework for fitting a colle...
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01/02/2019
Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback
We investigate the feasibility of learning from both fully-labeled super...
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10/03/2014
Individualized Rank Aggregation using Nuclear Norm Regularization
In recent years rank aggregation has received significant attention from...
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04/25/2011
Fast global convergence of gradient methods for high-dimensional statistical recovery
Many statistical M-estimators are based on convex optimization problems ...
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02/23/2011
