I am interested in building scalable, reliable and efficient probabilistic models for machine learning and data science. Currently, I focus on developing fast and robust inference methods with theoretical guarantees and their applications with deep neural networks on real-world big data.
Ruqi Zhang, Xingchao Liu, Qiang Liu International Conference on Machine Learning (ICML), 2022 [Coming soon]
Ruqi Zhang, Andrew Gordon Wilson, Christopher De Sa International Conference on Machine Learning (ICML), 2022 [Coming soon]
Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang Artificial Intelligence and Statistics (AISTATS), 2021 [Paper]
Ruqi Zhang, Zhiwu Lu International Joint Conference on Artificial Intelligence (IJCAI), 2016 [Paper]
Spotlight presentation at NeurIPS, December 2019 [Slides]