| Random Shuffling Beats SGD after Finite Epochs JZ HaoChen, S Sra International Conference on Machine Learning (ICML) 2019, 2019 | 66 | 2019 |
| Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss JZ HaoChen, C Wei, A Gaidon, T Ma Conference on Neural Information Processing Systems (NeurIPS) 2021, 2021 | 39 | 2021 |
| Shape Matters: Understanding the Implicit Bias of the Noise Covariance JZ HaoChen, C Wei, J Lee, T Ma Conference on Learning Theory (COLT) 2021, 2021 | 35 | 2021 |
| Self-supervised Learning is More Robust to Dataset Imbalance H Liu, JZ HaoChen, A Gaidon, T Ma International Conference on Learning Representations (ICLR) 2022, 2021 | 21 | 2021 |
| Connect, Not Collapse: Explaining Contrastive Learning for Unsupervised Domain Adaptation K Shen, R Jones, A Kumar, SM Xie, JZ HaoChen, T Ma, P Liang International Conference on Machine Learning (ICML) 2022, 2022 | 7 | 2022 |
| Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations JZ HaoChen, C Wei, A Kumar, T Ma arXiv preprint arXiv:2204.02683, 2022 | 3 | 2022 |
| Meta-learning Transferable Representations with a Single Target Domain H Liu, JZ HaoChen, C Wei, T Ma arXiv preprint arXiv:2011.01418, 2020 | 2 | 2020 |
| Amortized Proximal Optimization J Bae, P Vicol, JZ HaoChen, R Grosse arXiv preprint arXiv:2203.00089, 2022 | | 2022 |
Tengyu MAStanford UniversityVerified email at stanford.edu
