Jin, Jikai

1. Improved Analysis of Clipping Algorithms for Non-convex Optimization
   2020/10/05 by Zhang, Bohang, Jin, Jikai, Fang, Cong +1 · 13 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
2. Dichotomy of Early and Late Phase Implicit Biases Can Provably Induce Grokking
   2023/11/30 by Lyu, Kaifeng, Jin, Jikai, Li, Zhiyuan +3 · 9 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
3. Understanding Incremental Learning of Gradient Descent: A Fine-grained Analysis of Matrix Sensing
   2023/01/27 by Jin, Jikai, Li, Zhiyuan, Lyu, Kaifeng +2 · 5 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
4. On The Convergence of First Order Methods for Quasar-Convex Optimization
   2020/10/10 by Jin, Jikai · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
5. Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
   2021/10/24 by Jikai Jin, Jin, Jikai, Bohang Zhang +5 · 2 citations
   Computer Science · Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
6. Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity
   2023/11/21 by Jikai Jin, Vasilis Syrgkanis, Jin, Jikai +1 · 3 citations
   Computer Science · #AI-based Problem Solving and Planning #Applications (stat.AP) #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
7. Solving Inequality Proofs with Large Language Models
   2025/06/09 by Pan Lu, Jiayi Sheng, Lu, Pan +10 · 8 citations
   Computer Science · Materials Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Mathematics, Computing, and Information Processing #Topic Modeling
8. Structure-agnostic Optimality of Doubly Robust Learning for Treatment Effect Estimation
   2024/02/22 by Jikai Jin, Vasilis Syrgkanis, Jin, Jikai +1 · 2 citations
   Computer Science · Engineering · #Control Systems and Identification #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistics Theory (math.ST)
9. Understanding Riemannian Acceleration via a Proximal Extragradient Framework
   2021/11/04 by Jin, Jikai, Sra, Suvrit · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
10. Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power
    2022/05/27 by Binghui Li, Li, Binghui, Jikai Jin +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Stochastic Gradient Optimization Techniques
11. Minimax Optimal Kernel Operator Learning via Multilevel Training
    2022/09/28 by Jin, Jikai, Lu, Yiping, Blanchet, Jose +1 · 1 citation
    #Econometrics (econ.EM) #FOS: Computer and information sciences #FOS: Economics and business #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Numerical Analysis (math.NA) #Statistics Theory (math.ST)