Jingzhao Zhang

Jingzhao Zhang

Massachusetts Institute of Technology

H-index: 15

North America-United States

About Jingzhao Zhang

Jingzhao Zhang, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

On the overlooked pitfalls of weight decay and how to mitigate them: A gradient-norm perspective

Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models

Realistic fault detection of li-ion battery via dynamical deep learning

Two Phases of Scaling Laws for Nearest Neighbor Classifiers

Near-optimal fully first-order algorithms for finding stationary points in bilevel optimization

Sion’s minimax theorem in geodesic metric spaces and a Riemannian extragradient algorithm

Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions

Iteratively Learn Diverse Strategies with State Distance Information

Jingzhao Zhang Information

University

Position

EECS LIDS

Citations(all)

1408

Citations(since 2020)

1393

Cited By

263

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

16

i10Index(since 2020)

16

Email

University Profile Page

Massachusetts Institute of Technology

Google Scholar

View Google Scholar Profile

Jingzhao Zhang Skills & Research Interests

optimization

Top articles of Jingzhao Zhang

Title

Journal

Author(s)

Publication Date

On the overlooked pitfalls of weight decay and how to mitigate them: A gradient-norm perspective

Advances in Neural Information Processing Systems

Zeke Xie

Zhiqiang Xu

Jingzhao Zhang

Issei Sato

Masashi Sugiyama

2024/2/13

Benign Overfitting in Classification: Provably Counter Label Noise with Larger Models

Kaiyue Wen

Jiaye Teng

Jingzhao Zhang

2023

Realistic fault detection of li-ion battery via dynamical deep learning

Nature Communications

Jingzhao Zhang

Yanan Wang

Benben Jiang

Haowei He

Shaobo Huang

...

2023/9/23

Two Phases of Scaling Laws for Nearest Neighbor Classifiers

arXiv preprint arXiv:2308.08247

Pengkun Yang

Jingzhao Zhang

2023/8/16

Near-optimal fully first-order algorithms for finding stationary points in bilevel optimization

arXiv preprint arXiv:2306.14853

Lesi Chen

Yaohua Ma

Jingzhao Zhang

2023/6/26

Sion’s minimax theorem in geodesic metric spaces and a Riemannian extragradient algorithm

SIAM Journal on Optimization

Peiyuan Zhang

Jingzhao Zhang

Suvrit Sra

2023/12/31

Fast Conditional Mixing of MCMC Algorithms for Non-log-concave Distributions

Advances in Neural Information Processing Systems

Xiang Cheng

Bohan Wang

Jingzhao Zhang

Yusong Zhu

2024/2/13

Iteratively Learn Diverse Strategies with State Distance Information

Advances in Neural Information Processing Systems

Wei Fu

Weihua Du

Jingwei Li

Sunli Chen

Jingzhao Zhang

...

2024/2/13

Lower Generalization Bounds for GD and SGD in Smooth Stochastic Convex Optimization

arXiv preprint arXiv:2303.10758

Peiyuan Zhang

Jiaye Teng

Jingzhao Zhang

2023/3/19

A Quadratic Synchronization Rule for Distributed Deep Learning

arXiv preprint arXiv:2310.14423

Xinran Gu

Kaifeng Lyu

Sanjeev Arora

Jingzhao Zhang

Longbo Huang

2023/10/22

Efficient sampling on Riemannian manifolds via Langevin MCMC

Advances in Neural Information Processing Systems

Xiang Cheng

Jingzhao Zhang

Suvrit Sra

2022/12/6

Online policy optimization for robust MDP

arXiv preprint arXiv:2209.13841

Jing Dong

Jingwei Li

Baoxiang Wang

Jingzhao Zhang

2022/9/28

Understanding the unstable convergence of gradient descent

ICML 2022 (arXiv:2204.01050)

Kwangjun Ahn

Jingzhao Zhang

Suvrit Sra

2022/4/3

Optimization Theory and Machine Learning Practice: Mind the Gap

Jingzhao Zhang

2022

Complexity lower bounds for nonconvex-strongly-concave min-max optimization

Advances in Neural Information Processing Systems

Haochuan Li

Yi Tian

Jingzhao Zhang

Ali Jadbabaie

2021/12/6

Neural Network Weights Do Not Converge to Stationary Points: An Invariant Measure Perspective

Jingzhao Zhang

Haochuan Li

Suvrit Sra

Ali Jadbabaie

2022/6/28

Provably efficient algorithms for multi-objective competitive rl

Tiancheng Yu

Yi Tian

Jingzhao Zhang

Suvrit Sra

2021/7/1

Fast federated learning in the presence of arbitrary device unavailability

Advances in Neural Information Processing Systems

Xinran Gu

Kaixuan Huang

Jingzhao Zhang

Longbo Huang

2021/12/6

Beyond Worst-Case Analysis in Stochastic Approximation: Moment Estimation Improves Instance Complexity

Jingzhao Zhang

Hongzhou Lin

Subhro Das

Suvrit Sra

Ali Jadbabaie

2022/6/28

Why are adaptive methods good for attention models?

NeurIPS 2020 - Conference on Neural Information Processing Systems

Jingzhao Zhang

Sai Praneeth Karimireddy

Andreas Veit

Seungyeon Kim

Sashank J Reddi

...

2019/12/6

See List of Professors in Jingzhao Zhang University(Massachusetts Institute of Technology)

Co-Authors

H-index: 71
Ali Jadbabaie

Ali Jadbabaie

Massachusetts Institute of Technology

H-index: 65
Suvrit Sra

Suvrit Sra

Massachusetts Institute of Technology

H-index: 49
Stefanie Jegelka

Stefanie Jegelka

Massachusetts Institute of Technology

H-index: 23
Sai Praneeth Karimireddy

Sai Praneeth Karimireddy

École Polytechnique Fédérale de Lausanne

H-index: 17
Nicolas C. Pégard

Nicolas C. Pégard

University of North Carolina at Chapel Hill

H-index: 13
Tianxing He

Tianxing He

Massachusetts Institute of Technology

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