Jikai Jin

According to our database, Jikai Jin authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Jikai Jin, Vasilis Syrgkanis

CoRR, 2024

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

Kaifeng Lyu, Jikai Jin, Zhiyuan Li, Simon Shaolei Du, Jason D. Lee, Wei Hu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Learning Causal Representations from General Environments: Identifiability and Intrinsic Ambiguity.

Jikai Jin, Vasilis Syrgkanis

CoRR, 2023

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

Jikai Jin, Zhiyuan Li, Kaifeng Lyu, Simon Shaolei Du, Jason D. Lee

Proceedings of the International Conference on Machine Learning, 2023

Minimax Optimal Kernel Operator Learning via Multilevel Training.

Jikai Jin, Yiping Lu, José H. Blanchet, Lexing Ying

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

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

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Understanding Riemannian Acceleration via a Proximal Extragradient Framework.

Jikai Jin, Suvrit Sra

Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021

A Riemannian Accelerated Proximal Extragradient Framework and its Implications.

Jikai Jin, Suvrit Sra

CoRR, 2021

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis.

Jikai Jin, Bohang Zhang, Haiyang Wang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

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

Jikai Jin

CoRR, 2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization.

Bohang Zhang, Jikai Jin, Cong Fang, Liwei Wang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020