I am a Ph.D. candidate in the Department of Statistics at the University of Washington. I am fortunate to be advised by Zaid Harchaoui and Soumik Pal. Prior to that, I received my B.S. in mathematics and applied mathematics at Tsinghua University.
I am broadly interested in safe and interpretable machine learning with applications in natural language processing. I am also excited about optimal transport and its applications in statistics and machine learning.
Contact me at liu16 [at] uw [dot] edu.
- 01/21/2022: Presentation at ML-Opt on statistical analysis of divergence frontiers.
- 01/18/2022: Our paper on entropy regularized optimal transport independence criterion has been selected as an Oral Presentation at AISTATS 2022.
- 12/13/2021: Our paper on discrete Schrödinger bridges and two-sample testing has received the Best Paper Award at NeurIPS 2021 OTML Workshop.
- 09/28/2021: Our paper on statistical analysis of divergence frontiers has been accepted at NeurIPS 2021.
- 08/08/2021: Presentation at JSM 2021 on Schrödinger bridges and entropic optimal transport.
- 06/22/2021: Presentation at BIRS workshop on Schrödinger bridges and entropic optimal transport.
- 06/06/2021: Presentation at ICASSP 2021 on score-based change detection.
- 06/03/2021: Presentation at SDSS 2021 on score-based change detection.