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Jikai Jin

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Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation

Feb 22, 2024
Jikai Jin, Vasilis Syrgkanis

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Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking

Nov 30, 2023
Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon S. Du, Jason D. Lee, Wei Hu

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Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity

Nov 21, 2023
Jikai Jin, Vasilis Syrgkanis

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Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing

Jan 27, 2023
Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon S. Du, Jason D. Lee

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Minimax Optimal Kernel Operator Learning via Multilevel Training

Sep 28, 2022
Jikai Jin, Yiping Lu, Jose Blanchet, Lexing Ying

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Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

May 27, 2022
Binghui Li, Jikai Jin, Han Zhong, John E. Hopcroft, Liwei Wang

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A Riemannian Accelerated Proximal Extragradient Framework and its Implications

Nov 04, 2021
Jikai Jin, Suvrit Sra

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Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

Oct 26, 2021
Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

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Improved Analysis of Clipping Algorithms for Non-convex Optimization

Oct 29, 2020
Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

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On The Convergence of First Order Methods for Quasar-Convex Optimization

Oct 27, 2020
Jikai Jin

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