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
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