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20092026
most citedRegularization Techniques for Learning with Matrices

160 citations · 1.5k across the 122 of their papers we have counts for

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Showing 2016Show all

7 papers · 1 filter

cs.GT2016

Sampled Fictitious Play is Hannan Consistent

Zifan Li, Ambuj Tewari

Fictitious play is a simple and widely studied adaptive heuristic for playing repeated games. It is well known that fictitious play fails to be Hannan consistent. Several variants…

cs.LG2016★ 4 cited

Online Learning to Rank with Top-k Feedback

Sougata Chaudhuri, Ambuj Tewari

We consider two settings of online learning to rank where feedback is restricted to top ranked items. The problem is cast as an online game between a learner and sequence of users,…

cs.GT2016★ 1 cited

Phased Exploration with Greedy Exploitation in Stochastic Combinatorial Partial Monitoring Games

Sougata Chaudhuri, Ambuj Tewari

Partial monitoring games are repeated games where the learner receives feedback that might be different from adversary's move or even the reward gained by the learner. Recently, a…

cs.LG2016★ 6 cited

Generalization error bounds for learning to rank: Does the length of document lists matter?

Ambuj Tewari, Sougata Chaudhuri

We consider the generalization ability of algorithms for learning to rank at a query level, a problem also called subset ranking. Existing generalization error bounds necessarily d…

cs.LG2016★ 5 cited

Online Learning to Rank with Feedback at the Top

Sougata Chaudhuri, Ambuj Tewari

We consider an online learning to rank setting in which, at each round, an oblivious adversary generates a list of documents, pertaining to a query, and the learner produces sc…

cs.LG2016★ 87 cited

Mixture Proportion Estimation via Kernel Embedding of Distributions

Harish G. Ramaswamy, Clayton Scott, Ambuj Tewari

Mixture proportion estimation (MPE) is the problem of estimating the weight of a component distribution in a mixture, given samples from the mixture and component. This problem con…