Jikai Jin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Asymptotic Analysis

Stationary Points

Expressive Power

Top Venues

Publications

Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Shaolei Du, Jason D. Lee, Wei Hu
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking. ICLR (2024)
Jikai Jin, Vasilis Syrgkanis
Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation. CoRR (2024)
Jikai Jin, Vasilis Syrgkanis
Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity. CoRR (2023)
Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon S. Du, Jason D. Lee
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing. CoRR (2023)
Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. ICLR (2023)
Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee
Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing. ICML (2023)
Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon S. Du, Jason D. Lee, Wei Hu
Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking. CoRR (2023)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. NeurIPS (2022)
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang
Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. CoRR (2022)
Jikai Jin, Suvrit Sra
Understanding Riemannian Acceleration via a Proximal Extragradient Framework. COLT (2022)
Jikai Jin, Yiping Lu, Jose H. Blanchet, Lexing Ying
Minimax Optimal Kernel Operator Learning via Multilevel Training. CoRR (2022)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. CoRR (2021)
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. NeurIPS (2021)
Jikai Jin, Suvrit Sra
A Riemannian Accelerated Proximal Extragradient Framework and its Implications. CoRR (2021)
Jikai Jin
On The Convergence of First Order Methods for Quasar-Convex Optimization. CoRR (2020)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. CoRR (2020)
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang
Improved Analysis of Clipping Algorithms for Non-convex Optimization. NeurIPS (2020)