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Theseus: A Library for Differentiable Nonlinear Optimization


Jul 19, 2022
Luis Pineda, Taosha Fan, Maurizio Monge, Shobha Venkataraman, Paloma Sodhi, Ricky Chen, Joseph Ortiz, Daniel DeTone, Austin Wang, Stuart Anderson, Jing Dong, Brandon Amos, Mustafa Mukadam


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DFGC 2022: The Second DeepFake Game Competition


Jun 30, 2022
Bo Peng, Wei Xiang, Yue Jiang, Wei Wang, Jing Dong, Zhenan Sun, Zhen Lei, Siwei Lyu


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Learning to Control under Time-Varying Environment


Jun 06, 2022
Yuzhen Han, Ruben Solozabal, Jing Dong, Xingyu Zhou, Martin Takac, Bin Gu


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Exposing Fine-grained Adversarial Vulnerability of Face Anti-spoofing Models


May 30, 2022
Songlin Yang, Wei Wang, Chenye Xu, Bo Peng, Jing Dong


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Can We Do Better Than Random Start? The Power of Data Outsourcing


May 17, 2022
Yi Chen, Jing Dong, Xin T. Tong

* 22 pages, 5 figures 

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Algorithms and Theory for Supervised Gradual Domain Adaptation


Apr 25, 2022
Jing Dong, Shiji Zhou, Baoxiang Wang, Han Zhao


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iSDF: Real-Time Neural Signed Distance Fields for Robot Perception


Apr 05, 2022
Joseph Ortiz, Alexander Clegg, Jing Dong, Edgar Sucar, David Novotny, Michael Zollhoefer, Mustafa Mukadam

* Project page: https://joeaortiz.github.io/iSDF/ 

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Provably Efficient Convergence of Primal-Dual Actor-Critic with Nonlinear Function Approximation


Feb 28, 2022
Jing Dong, Li Shen, Yinggan Xu, Baoxiang Wang


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Stochastic Gradient Descent with Dependent Data for Offline Reinforcement Learning


Feb 06, 2022
Jing Dong, Xin T. Tong


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Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization


Jan 25, 2022
Canzhe Zhao, Yanjie Ze, Jing Dong, Baoxiang Wang, Shuai Li


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