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Towards Content Provider Aware Recommender Systems: A Simulation Study on the Interplay between User and Provider Utilities


May 06, 2021
Ruohan Zhan, Konstantina Christakopoulou, Ya Le, Jayden Ooi, Martin Mladenov, Alex Beutel, Craig Boutilier, Ed H. Chi, Minmin Chen


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RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems


Mar 14, 2021
Martin Mladenov, Chih-Wei Hsu, Vihan Jain, Eugene Ie, Christopher Colby, Nicolas Mayoraz, Hubert Pham, Dustin Tran, Ivan Vendrov, Craig Boutilier


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Meta-Thompson Sampling


Feb 11, 2021
Branislav Kveton, Mikhail Konobeev, Manzil Zaheer, Chih-wei Hsu, Martin Mladenov, Craig Boutilier, Csaba Szepesvari


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Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach


Aug 18, 2020
Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier


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Differentiable Meta-Learning in Contextual Bandits


Jun 09, 2020
Branislav Kveton, Martin Mladenov, Chih-Wei Hsu, Manzil Zaheer, Csaba Szepesvari, Craig Boutilier


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Differentiable Bandit Exploration


Feb 17, 2020
Craig Boutilier, Chih-Wei Hsu, Branislav Kveton, Martin Mladenov, Csaba Szepesvari, Manzil Zaheer


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RecSim: A Configurable Simulation Platform for Recommender Systems


Sep 26, 2019
Eugene Ie, Chih-wei Hsu, Martin Mladenov, Vihan Jain, Sanmit Narvekar, Jing Wang, Rui Wu, Craig Boutilier


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Advantage Amplification in Slowly Evolving Latent-State Environments


May 29, 2019
Martin Mladenov, Ofer Meshi, Jayden Ooi, Dale Schuurmans, Craig Boutilier


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Empirical Bayes Regret Minimization


Apr 04, 2019
Chih-Wei Hsu, Branislav Kveton, Ofer Meshi, Martin Mladenov, Csaba Szepesvari


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Planning and Learning with Stochastic Action Sets


May 07, 2018
Craig Boutilier, Alon Cohen, Amit Daniely, Avinatan Hassidim, Yishay Mansour, Ofer Meshi, Martin Mladenov, Dale Schuurmans


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The Symbolic Interior Point Method


Jun 14, 2016
Martin Mladenov, Vaishak Belle, Kristian Kersting


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Lifted Convex Quadratic Programming


Jun 14, 2016
Martin Mladenov, Leonard Kleinhans, Kristian Kersting


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Relational Linear Programs


Oct 12, 2014
Kristian Kersting, Martin Mladenov, Pavel Tokmakov


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Dimension Reduction via Colour Refinement


Apr 30, 2014
Martin Grohe, Kristian Kersting, Martin Mladenov, Erkal Selman


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