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Towards an Interpretable Latent Space in Structured Models for Video Prediction


Jul 16, 2021
Rushil Gupta, Vishal Sharma, Yash Jain, Yitao Liang, Guy Van den Broeck, Parag Singla

* Accepted at Weakly Supervised Representation Learning Workshop at IJCAI 2021 

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Handling Missing Data in Decision Trees: A Probabilistic Approach


Jun 29, 2020
Pasha Khosravi, Antonio Vergari, YooJung Choi, Yitao Liang, Guy Van den Broeck


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On Effective Parallelization of Monte Carlo Tree Search


Jun 15, 2020
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen


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Off-Policy Deep Reinforcement Learning with Analogous Disentangled Exploration


Feb 27, 2020
Anji Liu, Yitao Liang, Guy Van den Broeck

* In Proc. of the 19th International Conference on Autonomous Agents and Multiagent Systems, IFAAMAS 2020 

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LaTeS: Latent Space Distillation for Teacher-Student Driving Policy Learning


Dec 06, 2019
Albert Zhao, Tong He, Yitao Liang, Haibin Huang, Guy Van den Broeck, Stefano Soatto


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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

* @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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