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cs.LG2012★ 54 cited
Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization
Haim Avron, Satyen Kale, Shiva Kasiviswanathan +1
We describe novel subgradient methods for a broad class of matrix optimization problems involving nuclear norm regularization. Unlike existing approaches, our method executes very…
cs.LG2011★ 119 cited
Efficient Optimal Learning for Contextual Bandits
Miroslav Dudik, Daniel Hsu, Satyen Kale +4
We address the problem of learning in an online setting where the learner repeatedly observes features, selects among a set of actions, and receives reward for the action taken. We…