Search Results for author: Ben London

Found 5 papers, 1 papers with code

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.

Hinge-loss Markov Random Fields: Convex Inference for Structured Prediction

no code implementations26 Sep 2013 Stephen Bach, Bert Huang, Ben London, Lise Getoor

Graphical models for structured domains are powerful tools, but the computational complexities of combinatorial prediction spaces can force restrictions on models, or require approximate inference in order to be tractable.

Structured Prediction

Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss

no code implementations7 Mar 2013 Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor

For the typical cases of real-valued functions and binary relations, we propose several loss functions and derive the associated parameter gradients.

Relational Reasoning Tensor Decomposition

Graph-based Generalization Bounds for Learning Binary Relations

no code implementations21 Feb 2013 Ben London, Bert Huang, Lise Getoor

We investigate the generalizability of learned binary relations: functions that map pairs of instances to a logical indicator.

Entity Resolution Generalization Bounds +1

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