Follow
Jikai Jin
Jikai Jin
School of Mathematical Sciences, Peking University
Verified email at pku.edu.cn - Homepage
Title
Cited by
Cited by
Year
Improved analysis of clipping algorithms for non-convex optimization
B Zhang, J Jin, C Fang, L Wang
Advances in Neural Information Processing Systems 33, 15511-15521, 2020
152020
Non-convex distributionally robust optimization: Non-asymptotic analysis
J Jin, B Zhang, H Wang, L Wang
Advances in Neural Information Processing Systems 34, 2771-2782, 2021
102021
Understanding Riemannian Acceleration via a Proximal Extragradient Framework
J Jin, S Sra
Thirty Fifth Conference on Learning Theory (COLT 2022), 2022
6*2022
Why robust generalization in deep learning is difficult: Perspective of expressive power
B Li, J Jin, H Zhong, JE Hopcroft, L Wang
arXiv preprint arXiv:2205.13863, 2022
32022
On the convergence of first order methods for quasar-convex optimization
J Jin
arXiv preprint arXiv:2010.04937, 2020
32020
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
J Jin, Z Li, K Lyu, SS Du, JD Lee
arXiv preprint arXiv:2301.11500, 2023
2023
Minimax Optimal Kernel Operator Learning via Multilevel Training
J Jin, Y Lu, J Blanchet, L Ying
arXiv preprint arXiv:2209.14430, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–7