758 citations · 2.2k across the 33 of their papers we have counts for
4 papers · 1 filter
Optimal and Adaptive Off-policy Evaluation in Contextual Bandits
Yu-Xiang Wang, Alekh Agarwal, Miroslav Dudik
We study the off-policy evaluation problem---estimating the value of a target policy using data collected by another policy---under the contextual bandit model. We consider the gen…
Oracle-Efficient Online Learning and Auction Design
Miroslav Dudík, Nika Haghtalab, Haipeng Luo +3
We consider the design of computationally efficient online learning algorithms in an adversarial setting in which the learner has access to an offline optimization oracle. We prese…
Arbitrage-Free Combinatorial Market Making via Integer Programming
Christian Kroer, Miroslav Dudík, Sébastien Lahaie +1
We present a new combinatorial market maker that operates arbitrage-free combinatorial prediction markets specified by integer programs. Although the problem of arbitrage-free pric…
Off-policy evaluation for slate recommendation
Adith Swaminathan, Akshay Krishnamurthy, Alekh Agarwal +4
This paper studies the evaluation of policies that recommend an ordered set of items (e.g., a ranking) based on some context---a common scenario in web search, ads, and recommendat…