Research Interests
My PhD research focuses on the intersection of deep learning and Bayesian statistic — enriching one
with each other: (1) Bayesian Deep Learning: Scalable Bayesian learning methods for the weight
uncertainty of deep neural networks, e.g., SG-MCMCs (2) Deep Bayesian Learning: Deep neural
networks as flexible representation methods in Bayesian models, e.g., GANs and VAEs. These tools
have been applied to various domains, including computer vision, natural language processing and
deep reinforcement learning et