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Ph.D. Candidate at Department of Statistics and Data Sciences , University of Texas at Austin
Hi! I’m Khai, a third-year Ph.D. candidate at Department of Statistics and Data Sciences , University of Texas at Austin . I am fortunate to be advised by Professor Nhat Ho and Professor Peter Müller . I am associated with Institute for Foundations of Machine Learning ( IFML ) and I am a visiting student at Statistical Information Lab at The University of Texas MD Anderson Cancer Center . I graduated from Hanoi University of Science and Technology with a Computer Science Bachelor’s degree. Before joining UT
Research: My current works are making Optimal Transport scalable in statistical inference (low time complexity, low space complexity, low sample complexity) via the one-dimensional projection approach which is known as sliced optimal transport (sliced Wasserstein distance).