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Towards Fair Federated Learning with Zero-Shot Data Augmentation

Apr 27, 2021
Weituo Hao, Mostafa El-Khamy, Jungwon Lee, Jianyi Zhang, Kevin J Liang, Changyou Chen, Lawrence Carin

* Accepted by IEEE CVPR Workshop on Fair, Data Efficient And Trusted Computer Vision 

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Safe Distributional Reinforcement Learning

Feb 26, 2021
Jianyi Zhang, Paul Weng

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Differentiable Logic Machines

Feb 24, 2021
Matthieu Zimmer, Xuening Feng, Claire Glanois, Zhaohui Jiang, Jianyi Zhang, Paul Weng, Hao Jianye, Li Dong, Liu Wulong

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FLOP: Federated Learning on Medical Datasets using Partial Networks

Feb 10, 2021
Qian Yang, Jianyi Zhang, Weituo Hao, Gregory Spell, Lawrence Carin

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Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning

Feb 11, 2019
Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson

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Self-Adversarially Learned Bayesian Sampling

Nov 21, 2018
Yang Zhao, Jianyi Zhang, Changyou Chen

* AAAI 2019 

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Variance Reduction in Stochastic Particle-Optimization Sampling

Nov 20, 2018
Jianyi Zhang, Yang Zhao, Changyou Chen

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Stochastic Particle-Optimization Sampling and the Non-Asymptotic Convergence Theory

Sep 05, 2018
Jianyi Zhang, Ruiyi Zhang, Changyou Chen

* Use NIPS template 

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