Jeff Z. HaoChen

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Domain Adaptation

Supervised Learning

Top Venues

Publications

Jeff Z. HaoChen, Tengyu Ma
A theoretical study of inductive biases in contrastive learning. ICLR (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. CoRR (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. CoRR (2023)
Yuhui Zhang, Michihiro Yasunaga, Zhengping Zhou, Jeff Z. HaoChen, James Zou, Percy Liang, Serena Yeung
Beyond Positive Scaling: How Negation Impacts Scaling Trends of Language Models. ACL (Findings) (2023)
Yuhui Zhang, Jeff Z. HaoChen, Shih-Cheng Huang, Kuan-Chieh Wang, James Zou, Serena Yeung
Diagnosing and Rectifying Vision Models using Language. ICLR (2023)
Arvind Mahankali, Jeff Z. HaoChen, Kefan Dong, Margalit Glasgow, Tengyu Ma
Beyond NTK with Vanilla Gradient Descent: A Mean-Field Analysis of Neural Networks with Polynomial Width, Samples, and Time. CoRR (2023)
Kendrick Shen, Robbie Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. CoRR (2022)
Jeff Z. HaoChen, Tengyu Ma
A Theoretical Study of Inductive Biases in Contrastive Learning. CoRR (2022)
Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. CoRR (2022)
Kendrick Shen, Robbie M. Jones, Ananya Kumar, Sang Michael Xie, Jeff Z. HaoChen, Tengyu Ma, Percy Liang
Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation. ICML (2022)
Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma
Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations. NeurIPS (2022)
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
Self-supervised Learning is More Robust to Dataset Imbalance. ICLR (2022)
Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse
Amortized Proximal Optimization. NeurIPS (2022)
Juhan Bae, Paul Vicol, Jeff Z. HaoChen, Roger B. Grosse
Amortized Proximal Optimization. CoRR (2022)
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. NeurIPS (2021)
Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma
Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss. CoRR (2021)
Jeff Z. HaoChen, Colin Wei, Jason D. Lee, Tengyu Ma
Shape Matters: Understanding the Implicit Bias of the Noise Covariance. COLT (2021)
Hong Liu, Jeff Z. HaoChen, Adrien Gaidon, Tengyu Ma
Self-supervised Learning is More Robust to Dataset Imbalance. CoRR (2021)
Hong Liu, Jeff Z. HaoChen, Colin Wei, Tengyu Ma
Meta-learning Transferable Representations with a Single Target Domain. CoRR (2020)
Jeff Z. HaoChen, Colin Wei, Jason D. Lee, Tengyu Ma
Shape Matters: Understanding the Implicit Bias of the Noise Covariance. CoRR (2020)
Jeff Z. HaoChen, Suvrit Sra
Random Shuffling Beats SGD after Finite Epochs. ICML (2019)