Runtian Zhai

翟润天

PhD Student

Second-year PhD
Machine Learning
Computer Science Department (CSD)
School of Computer Science (SCS)
Carnegie Mellon University (CMU)

Email: rzhai at cmu dot edu
Office: GHC 5105

Photo

Second-year PhD
Machine Learning
Computer Science Department (CSD)
School of Computer Science (SCS)
Carnegie Mellon University (CMU)

Email: rzhai at cmu dot edu
Office: GHC 5105

Bio [CV]
I am a second-year PhD student of CMU SCS Computer Science Department, co-advised by Zico Kolter and Pradeep Ravikumar. My research area is machine learning, and I am deeply interested in bridging the gap between machine learning theory and applications. Recently I am mainly focusing on tasks with distributional shift, where the data distribution on which the model is trained is different from the testing data distribution, a very common scenario in practice. Related topics include algorithmic fairness, domain adaptaion, transfer learning and robustness. In addition, I am also studying optimization and generalization theory, as well as causal inference.
I received my Bachelor's degree in computer science and applied math (double degree) from Peking University. As an undergraduate I was advised by Liwei Wang. I also visited UCLA in the summer of 2019 and worked with Cho-Jui Hsieh. From Sept 2019 to Jun 2020 I worked as a full-time research intern in Microsoft Research Asia (MSRA) machine learning group.
News:
  • One new paper accepted by NeurIPS 2021.
  • Arrived in Pittsburgh. (8/26/21)
  • One new paper accepted by ICML 2021.
  • Graduated from PKU. (Picture)
Links: