Search Results for author: Ted Sandler

Found 3 papers, 0 papers with code

Boosted Off-Policy Learning

no code implementations1 Aug 2022 Ben London, Levi Lu, Ted Sandler, Thorsten Joachims

We propose the first boosting algorithm for off-policy learning from logged bandit feedback.

Bayesian Counterfactual Risk Minimization

no code implementations29 Jun 2018 Ben London, Ted Sandler

We present a Bayesian view of counterfactual risk minimization (CRM) for offline learning from logged bandit feedback.

counterfactual

Regularized Learning with Networks of Features

no code implementations NeurIPS 2008 Ted Sandler, John Blitzer, Partha P. Talukdar, Lyle H. Ungar

Here we present a framework for regularized learning in settings where one has prior knowledge about which features are expected to have similar and dissimilar weights.

Sentiment Analysis text-classification +1

Cannot find the paper you are looking for? You can Submit a new open access paper.