Tianhao Wang (王天浩)
Ph.D. student, Department of Statistics and Data Science, Yale University.
Department of S&DS
24 Hillhouse Avenue
New Haven, CT 06511
tianhao.wang@yale.edu
I am a final year Ph.D. student in the Department of Statistics and Data Science at Yale University. I am very fortunate to be advised by Prof. Zhou Fan. I am broadly interested in various aspects of statistics and machine learning theory, with a recent focus on AMP algorithms and implicit bias of optimization algorithms.
Prior to Yale, I obtained my Bachelor’s degree in mathematics with a dual degree in computer science at University of Science and Technology of China.
CVSelected recent papers by topics (*: equal contribution)
Approximate Message Passing algorithms
Implicit bias of optimization algorithms

Fast mixing of stochastic gradient descent with normalization and weight decayIn Advances in Neural Information Processing Systems (NeurIPS), 2022

Implicit bias of gradient descent on reparametrized models: On equivalence to mirror descentIn Advances in Neural Information Processing Systems (NeurIPS), 2022Abridged version accepted for a contributed talk to ICML 2022 Workshop on Continuous time methods for machine learning
Datadriven decisionmaking problems

Noiseadaptive Thompson sampling for linear contextual banditsIn Advances in Neural Information Processing Systems (NeurIPS), 2023