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On Tractable Computation of Expected Predictions


Oct 31, 2019
Pasha Khosravi, YooJung Choi, Yitao Liang, Antonio Vergari, Guy Van den Broeck

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What to Expect of Classifiers? Reasoning about Logistic Regression with Missing Features


Mar 05, 2019
Pasha Khosravi, Yitao Liang, YooJung Choi, Guy Van den Broeck

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Learning Logistic Circuits


Feb 27, 2019
Yitao Liang, Guy Van den Broeck

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* @proceedings{liang2019logistic, title = {Proceedings of the Thirty-Third {AAAI} Conference on Artificial Intelligence (AAAI-19)}, publisher = {{AAAI} Press}, year = {2019} } 
* Published in the Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI19) 

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Horizon: Facebook's Open Source Applied Reinforcement Learning Platform


Nov 01, 2018
Jason Gauci, Edoardo Conti, Yitao Liang, Kittipat Virochsiri, Yuchen He, Zachary Kaden, Vivek Narayanan, Xiaohui Ye

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* 6 pages 

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A Semantic Loss Function for Deep Learning with Symbolic Knowledge


Jun 08, 2018
Jingyi Xu, Zilu Zhang, Tal Friedman, Yitao Liang, Guy Van den Broeck

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* This version appears in the Proceedings of the 35th International Conference on Machine Learning (ICML 2018) 

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Inference Aided Reinforcement Learning for Incentive Mechanism Design in Crowdsourcing


Jun 01, 2018
Zehong Hu, Yitao Liang, Yang Liu, Jie Zhang

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* 23 pages, 3 figures 

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State of the Art Control of Atari Games Using Shallow Reinforcement Learning


Apr 21, 2016
Yitao Liang, Marlos C. Machado, Erik Talvitie, Michael Bowling

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* A shorter version of this paper appears in the Proceedings of the 15th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2016) 

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