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Practical Bandits: An Industry Perspective


Feb 02, 2023
Bram van den Akker, Olivier Jeunen, Ying Li, Ben London, Zahra Nazari, Devesh Parekh

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* Tutorial held at The Web Conference 2023 (formerly known as WWW) in Austin, Texas (USA), on April 30 - May 4, 2023 

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Off-policy evaluation for learning-to-rank via interpolating the item-position model and the position-based model


Oct 15, 2022
Alexander Buchholz, Ben London, Giuseppe di Benedetto, Thorsten Joachims

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* Presented at CONSEQUENCES workshop (Recsys '22) https://sites.google.com/view/consequences2022/contributions 

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Boosted Off-Policy Learning


Aug 01, 2022
Ben London, Levi Lu, Ted Sandler, Thorsten Joachims

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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

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* 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

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* 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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