Tianyu Wang

I'm an assistant professor at Shanghai Center for Mathematical Science (SCMS), Fudan University. Before joining Fudan, I obtained my doctorate degree from Duke University and my bachelor's degree from the Hong Kong University of Science and Technology (HKUST).

Email: wangtianyu AT fudan DOT edu DOT cn

Research interest key words: (a small subset of) machine learning, optimization, theoretical computer science, LLMs.

Students: I am fortunate to work with the following students: Yasong Feng, Yu Liu, Yunlu Shu

My publication list is here.

Some Recent Papers

Yu Liu, Yunlu Shu, Tianyu Wang Yu, Batched Stochastic Bandit for Nondegenerate Functions, IEEE Trans. Inf. Theory, 2025+
Yasong Feng and Tianyu Wang, “Stochastic zeroth-order gradient and Hessian estimators: variance reduction and refined bias bounds,” Information and Inference: A Journal of the IMA, vol. 12, no. 3, 2023
Tianyu Wang, “On sharp stochastic zeroth-order Hessian estimators over Riemannian manifolds,” Information and Inference: A Journal of the IMA, vol. 12, no. 2, pp. 787–813, 2023
Yasong Feng, Zengfeng Huang, and Tianyu Wang, “Lipschitz bandits with batched feedback,” in Advances in Neural Information Processing Systems, 2022, pp. 19836–19848.

--Spotlight Presentation, long version accepted to IEEE Trans. Inf. Theory