4 citations · 7 across the 3 of their papers we have counts for
3 papers
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.LG2014★ 2 cited
Perceptron-like Algorithms and Generalization Bounds for Learning to Rank
Sougata Chaudhuri, Ambuj Tewari
Learning to rank is a supervised learning problem where the output space is the space of rankings but the supervision space is the space of relevance scores. We make theoretical co…