Improved Analysis of Clipping Algorithms for Non-convex Optimization. - Bohang Zhang; Jikai Jin; Cong Fang 001; Liwei Wang 001 (NeurIPS, 2020)

On The Convergence of First Order Methods for Quasar-Convex Optimization. - Jikai Jin (CoRR, 2020)

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis. - Jikai Jin; Bohang Zhang; Haiyang Wang; Liwei Wang 001 (NeurIPS, 2021)

A Riemannian Accelerated Proximal Extragradient Framework and its Implications. - Jikai Jin; Suvrit Sra (CoRR, 2021)

Understanding Riemannian Acceleration via a Proximal Extragradient Framework. - Jikai Jin; Suvrit Sra (COLT, 2022)

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power. - Binghui Li; Jikai Jin; Han Zhong 001; John E. Hopcroft; Liwei Wang 001 (NeurIPS, 2022)

Minimax Optimal Kernel Operator Learning via Multilevel Training. - Jikai Jin; Yiping Lu 001; José H. Blanchet; Lexing Ying (ICLR, 2023)

Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing. - Jikai Jin; Zhiyuan Li 005; Kaifeng Lyu; Simon Shaolei Du; Jason D. Lee (ICML, 2023)

Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity. - Jikai Jin; Vasilis Syrgkanis (CoRR, 2023)

Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking. - Kaifeng Lyu; Jikai Jin; Zhiyuan Li 005; Simon Shaolei Du; Jason D. Lee; Wei Hu 014 (ICLR, 2024)

Learning Linear Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity. - Jikai Jin; Vasilis Syrgkanis (NeurIPS, 2024)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation. - Jikai Jin; Vasilis Syrgkanis (CoRR, 2024)

Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation (Extended Abstract). - Jikai Jin; Vasilis Syrgkanis (COLT, 2025)

Solving Inequality Proofs with Large Language Models. - Jiayi Sheng; Luna Lyu; Jikai Jin; Tony Xia; Alex Gu; James Zou; Pan Lu (CoRR, 2025)

Discovering Hierarchical Latent Capabilities of Language Models via Causal Representation Learning. - Jikai Jin; Vasilis Syrgkanis; Sham M. Kakade; Hanlin Zhang 002 (CoRR, 2025)

It's Hard to Be Normal: The Impact of Noise on Structure-agnostic Estimation. - Jikai Jin; Lester Mackey; Vasilis Syrgkanis (CoRR, 2025)