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Semi-Supervised Offline Reinforcement Learning with Action-Free Trajectories


Oct 12, 2022
Qinqing Zheng, Mikael Henaff, Brandon Amos, Aditya Grover

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ConserWeightive Behavioral Cloning for Reliable Offline Reinforcement Learning


Oct 11, 2022
Tung Nguyen, Qinqing Zheng, Aditya Grover

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Latent State Marginalization as a Low-cost Approach for Improving Exploration


Oct 03, 2022
Dinghuai Zhang, Aaron Courville, Yoshua Bengio, Qinqing Zheng, Amy Zhang, Ricky T. Q. Chen

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Online Decision Transformer


Feb 11, 2022
Qinqing Zheng, Amy Zhang, Aditya Grover

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A Theorem of the Alternative for Personalized Federated Learning


Mar 02, 2021
Shuxiao Chen, Qinqing Zheng, Qi Long, Weijie J. Su

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* 50 pages (main manuscript: 25 pages, appendices: 25 pages) 

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Federated $f$-Differential Privacy


Feb 22, 2021
Qinqing Zheng, Shuxiao Chen, Qi Long, Weijie J. Su

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* Accepted to AISTATS 2021 

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Near-Optimal Confidence Sequences for Bounded Random Variables


Jun 09, 2020
Arun Kumar Kuchibhotla, Qinqing Zheng

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Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion


Mar 25, 2020
Qinqing Zheng, Jinshuo Dong, Qi Long, Weijie J. Su

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ShadowSync: Performing Synchronization in the Background for Highly Scalable Distributed Training


Mar 07, 2020
Qinqing Zheng, Bor-Yiing Su, Jiyan Yang, Alisson Azzolini, Qiang Wu, Ou Jin, Shri Karandikar, Hagay Lupesko, Liang Xiong, Eric Zhou

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