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Publications
Type
Conference paper
Date
2023
2022
2021
2020
Jikai Jin
,
Zhiyuan Li
,
Kaifeng Lyu
,
Simon S. Du
,
Jason D. Lee
(2023).
Understanding Incremental Learning of Gradient Descent -- A Fine-grained Analysis of Matrix Sensing
. In
ICML 2023
.
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ArXiv
Poster
Jikai Jin
,
Yiping Lu
,
Jose Blanchet
,
Lexing Ying
(2022).
Minimax Optimal Kernel Operator Learning via Multilevel Training
. In
ICLR 2023 (spotlight)
.
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ArXiv
Slides
Poster
Binghui Li
,
Jikai Jin
,
Han Zhong
,
John E. Hopcroft
,
Liwei Wang
(2022).
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
. In
NeurIPS 2022
.
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ArXiv
Jikai Jin
,
Suvrit Sra
(2022).
Understanding Riemannian Acceleration via a Proximal Extragradient Framework
. In
COLT 2022
.
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ArXiv
Jikai Jin
,
Bohang Zhang
,
Haiyang Wang
,
Liwei Wang
(2021).
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
. In
NeurIPS 2021
.
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ArXiv
Bohang Zhang
,
Jikai Jin
,
Cong Fang
,
Liwei Wang
(2020).
Improved analysis of clipping algorithms for non-convex optimization
. In
NeurIPS 2020
.
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ArXiv
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