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Bayesian Counterfactual Risk Minimization

Oct 30, 2018
Ben London, Ted Sandler


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A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent

Jan 31, 2018
Ben London

* In Neural Information Processing Systems (NIPS) 2017 

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

Sep 26, 2013
Stephen Bach, Bert Huang, Ben London, Lise Getoor

* Appears in Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence (UAI2013) 

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Graph-based Generalization Bounds for Learning Binary Relations

May 31, 2013
Ben London, Bert Huang, Lise Getoor


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Multi-relational Learning Using Weighted Tensor Decomposition with Modular Loss

May 31, 2013
Ben London, Theodoros Rekatsinas, Bert Huang, Lise Getoor


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