My research interests include Bayesian machine learning, deep learning, stochastic algorithms and generative models. Recently, I'm working on scalable Bayesian inference with theoretical guarantees and applications in Bayesian deep learning.
Ruqi Zhang, A. Feder Cooper, Christopher De Sa AISTATS, 2020 [Coming soon]
Ruqi Zhang, Zhiwu Lu IJCAI, 2016 [Paper]
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang Symposium on Advances in Approximate Bayesian Inference (AABI), 2019 [Paper]