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Learning Domain Invariant Representations in Goal-conditioned Block MDPs


Oct 28, 2021
Beining Han, Chongyi Zheng, Harris Chan, Keiran Paster, Michael R. Zhang, Jimmy Ba

* NeurIPS2021 
* 33 pages 

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Multichannel Generative Language Model: Learning All Possible Factorizations Within and Across Channels


Oct 09, 2020
Harris Chan, Jamie Kiros, William Chan

* 10 pages (+3 appendix), 11 figures, 5 tables. Accepted to Findings of EMNLP 2020 

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Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning


Jul 06, 2020
Silviu Pitis, Harris Chan, Stephen Zhao, Bradly Stadie, Jimmy Ba

* 12 pages (+12 appendix). Published as a conference paper at ICML 2020. Code available at https://github.com/spitis/mrl 

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An Inductive Bias for Distances: Neural Nets that Respect the Triangle Inequality


Feb 14, 2020
Silviu Pitis, Harris Chan, Kiarash Jamali, Jimmy Ba

* 11 pages (+18 appendix). Published as a conference paper at ICLR 2020. https://openreview.net/forum?id=HJeiDpVFPr 

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Interplay Between Optimization and Generalization of Stochastic Gradient Descent with Covariance Noise


Apr 03, 2019
Yeming Wen, Kevin Luk, Maxime Gazeau, Guodong Zhang, Harris Chan, Jimmy Ba


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ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning


Feb 12, 2019
Harris Chan, Yuhuai Wu, Jamie Kiros, Sanja Fidler, Jimmy Ba


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Are You Sure You Want To Do That? Classification with Verification


Sep 13, 2018
Harris Chan, Atef Chaudhury, Kevin Shen

* 9 pages, 5 figures, preprint 

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