2.6k citations · 8.6k across the 77 of their papers we have counts for
5 papers · 1 filter
Sample-efficient Nonstationary Policy Evaluation for Contextual Bandits
Miroslav Dudik, Dumitru Erhan, John Langford +1
We present and prove properties of a new offline policy evaluator for an exploration learning setting which is superior to previous evaluators. In particular, it simultaneously and…
Proceedings of the 29th International Conference on Machine Learning (ICML-12)
John Langford, Joelle Pineau
This is an index to the papers that appear in the Proceedings of the 29th International Conference on Machine Learning (ICML-12). The conference was held in Edinburgh, Scotland, Ju…
Predicting Conditional Quantiles via Reduction to Classification
John Langford, Roberto Oliveira, Bianca Zadrozny
We show how to reduce the process of predicting general order statistics (and the median in particular) to solving classification. The accompanying theoretical statement shows that…
Contextual Bandit Learning with Predictable Rewards
Alekh Agarwal, Miroslav Dudík, Satyen Kale +2
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on the…
Learning Performance of Prediction Markets with Kelly Bettors
Alina Beygelzimer, John Langford, David Pennock
In evaluating prediction markets (and other crowd-prediction mechanisms), investigators have repeatedly observed a so-called "wisdom of crowds" effect, which roughly says that the…