no code implementations • 29 Jun 2018 • Ben London, Ted Sandler
We present a Bayesian view of counterfactual risk minimization (CRM) for offline learning from logged bandit feedback.
1 code implementation • NeurIPS 2017 • Ben London
This inspires an adaptive sampling algorithm for SGD that optimizes the posterior at runtime.
no code implementations • 26 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.
no code implementations • 7 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.
no code implementations • 21 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.