machine learning (3466) statistics (1406) optimization (828) statistical inference (7) computational complexity (6) average case complexity (1)
David X. Wu he/him/his
I am a second year Ph.D. student at UC Berkeley, where I’m extremely fortunate to be coadvised by Prasad Raghavendra and Anant Sahai . I’m broadly interested in problems at the intersection of theoretical computer science and statistics, including topics such as computational complexity of statistical inference, Markov chains for sampling, machine learning theory, and optimization. I graduated with a B.Sc. from MIT with a double major in mathematics (Course 18) and computer science (Course 6-3). I’m gratefu