758 citations · 2.2k across the 33 of their papers we have counts for
3 papers · 1 filter
A Reliable Effective Terascale Linear Learning System
Alekh Agarwal, Olivier Chapelle, Miroslav Dudik +1
We present a system and a set of techniques for learning linear predictors with convex losses on terascale datasets, with trillions of features, {The number of features here refers…
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…
Doubly Robust Policy Evaluation and Learning
Miroslav Dudik, John Langford, Lihong Li
We study decision making in environments where the reward is only partially observed, but can be modeled as a function of an action and an observed context. This setting, known as…