Jikai Jin

2021202220236 27 3

Public access

3 articles

0 articles

available

not available

Based on funding mandates

Liwei WangProfessor, Peking UniversityVerified email at cis.pku.edu.cn
Bohang ZhangPeking UniversityVerified email at pku.edu.cn
Cong FangPeking UniversityVerified email at pku.edu.cn
Suvrit SraMITVerified email at mit.edu
Haiyang WangPKUVerified email at stu.pku.edu.cn
Han ZhongPeking UniversityVerified email at stu.pku.edu.cn
John HopcroftCornell UniversityVerified email at cs.cornell.edu
Binghui LiSchool of EECS, Peking UniversityVerified email at pku.edu.cn
Jose BlanchetStanford UniversityVerified email at stanford.edu
Lexing YingProfessor of Mathematics, Stanford UniversityVerified email at stanford.edu
Simon Shaolei DuAssistant Professor, School of Computer Science and Engineering, University of WashingtonVerified email at cs.washington.edu
Zhiyuan LiPostdoc, Stanford UniversityVerified email at stanford.edu
Kaifeng LyuPrinceton UniversityVerified email at princeton.edu
Yiping LuStanford UniversityVerified email at stanford.edu
Jason D. LeeAssociate Professor of Electrical Engineering and Computer Science, Princeton UniversityVerified email at princeton.edu

Jikai Jin

School of Mathematical Sciences, Peking University

Verified email at pku.edu.cn - Homepage


Title Sort by citations Sort by year Sort by 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	15	2020
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	10	2021
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	3	2022
On the convergence of first order methods for quasar-convex optimization J Jin arXiv preprint arXiv:2010.04937, 2020	3	2020
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

Citations per year