A General Framework for Accurate and Private Mean Estimation
Z. Yang, X. Xu and Y. Gu, A General Framework for Accurate and Private Mean Estimation, in IEEE Signal Processing Letters, vol. 29, pp. 2293-2297, 2022, doi: 10.1109/LSP.2022.3219356.
CV
Zhouhao Yang’s Curriculum Vitae
Education
- Bachelor of Mathematics and Applied Mathematics (Zhiyuan Honors Program) in Shanghai Jiao Tong University (2019.9-2023.6)
- Ph.D Student of Computer Science at National University of Singapore (2023.8-2024.7)
- Ph.D Candidate of Applied Mathematics and Statistics at the Johns Hopkins University (2024.8-present)
Publications
Distributionally Robust Policy Gradient for Offline Contextual Bandits
Z. Yang, Y. Guo, P. Xu, A. Liu, and A. Anandkumar. Distributionally robust policy gradient for offline contextual bandits. In International Conference on Artificial Intelligence and Statistics, pages 6443–6462. PMLR, 2023.
Bias-Variance Trade-off in Physics-Informed Neural Networks with Randomized Smoothing for High-Dimensional PDEs
Z. Hu, Z. Yang, Y. Wang, G.E. Karniadakis, K. Kawaguchi, Bias-variance trade-off in physics-informed neural networks with randomized smoothing for high-dimensional PDEs, 2023, arXiv preprint arXiv:2311.15283.
Memory-Efficient Gradient Unrolling for Large-Scale Bi-level Optimization
Q. Shen, Y. Wang, Z. Yang, X. Li, H. Wang, Y. Zhang, J. Scarlett, Z. Zhu, and K. Kawaguchi, Memory-efficient gradient unrolling for large-scale bi-level optimization. In The Thirty-eighth Annual Conference on Neural Information Processing Systems, 2024b.