Cong, Yulai

9 publications

AAAI 2024 Big Learning Expectation Maximization Yulai Cong, Sijia Li

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

AAAI 2020 Bridging Maximum Likelihood and Adversarial Learning via Α-Divergence Miaoyun Zhao, Yulai Cong, Shuyang Dai, Lawrence Carin

NeurIPS 2020 GAN Memory with No Forgetting Yulai Cong, Miaoyun Zhao, Jianqiao Li, Sijia Wang, Lawrence Carin

ICML 2020 On Leveraging Pretrained GANs for Generation with Limited Data Miaoyun Zhao, Yulai Cong, Lawrence Carin

ICLR 2019 GO Gradient for Expectation-Based Objectives Yulai Cong, Miaoyun Zhao, Ke Bai, Lawrence Carin

ICML 2017 Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC Yulai Cong, Bo Chen, Hongwei Liu, Mingyuan Zhou

JMLR 2016 Augmentable Gamma Belief Networks Mingyuan Zhou, Yulai Cong, Bo Chen

NeurIPS 2015 The Poisson Gamma Belief Network Mingyuan Zhou, Yulai Cong, Bo Chen