Chen, Junya

6 publications

NeurIPS 2022 Tight Mutual Information Estimation with Contrastive Fenchel-Legendre Optimization Qing Guo, Junya Chen, Dong Wang, Yuewei Yang, Xinwei Deng, Jing Huang, Larry Carin, Fan Li, Chenyang Tao

AAAI 2021 GO Hessian for Expectation-Based Objectives Yulai Cong, Miaoyun Zhao, Jianqiao Li, Junya Chen, Lawrence Carin

NeurIPS 2021 Supercharging Imbalanced Data Learning with Energy-Based Contrastive Representation Transfer Junya Chen, Zidi Xiu, Benjamin Goldstein, Ricardo Henao, Lawrence Carin, Chenyang Tao

NeurIPS 2020 Reconsidering Generative Objectives for Counterfactual Reasoning Danni Lu, Chenyang Tao, Junya Chen, Fan Li, Feng Guo, Lawrence Carin

NeurIPS 2019 On Fenchel Mini-Max Learning Chenyang Tao, Liqun Chen, Shuyang Dai, Junya Chen, Ke Bai, Dong Wang, Jianfeng Feng, Wenlian Lu, Georgiy Bobashev, Lawrence Carin

ICML 2019 Variational Annealing of GANs: A Langevin Perspective Chenyang Tao, Shuyang Dai, Liqun Chen, Ke Bai, Junya Chen, Chang Liu, Ruiyi Zhang, Georgiy Bobashev, Lawrence Carin Duke