Jeff Z. HaoChen

PhD student, Stanford University

Joined

September 2020

Names

Jeff Z. HaoChen (Preferred)

Emails

****@stanford.edu (Confirmed)

****@cs.stanford.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Stanford University (stanford.edu)

2019 – Present

Undergrad student

Tsinghua University (tsinghua.edu.cn)

2015 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time
Arvind Venkat Mahankali, Jeff Z. HaoChen, Kefan Dong, Margalit Glasgow, Tengyu Ma
- NeurIPS 2023 poster
- Readers: Everyone
DrML: Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
- Published: 05 Dec 2022, Last Modified: 05 May 2023
- MLSW2022
- Readers: Everyone
DrML: Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
- Published: 21 Oct 2022, Last Modified: 05 May 2023
- NeurIPS 2022 Workshop DistShift Poster
- Readers: Everyone
A theoretical study of inductive biases in contrastive learning
Jeff Z. HaoChen, Tengyu Ma
- Published: 01 Feb 2023, Last Modified: 02 Mar 2023
- ICLR 2023 poster
- Readers: Everyone
Diagnosing and Rectifying Vision Models using Language
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone
Amortized Proximal Optimization
Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger Baker Grosse
- Published: 31 Oct 2022, Last Modified: 08 Feb 2026
- NeurIPS 2022 Accept
- Readers: Everyone
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations
Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Amortized Proximal Optimization
Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse
- 2022 (modified: 29 Mar 2022)
- CoRR 2022
- Readers: Everyone
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
- Published: 02 Dec 2021, Last Modified: 04 May 2025
- NeurIPS 2021 Workshop DistShift Poster
- Readers: Everyone
Self-supervised Learning is More Robust to Dataset Imbalance
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
- Published: 28 Jan 2022, Last Modified: 12 Oct 2025
- ICLR 2022 Spotlight
- Readers: Everyone

View all 18 publications