Wei, Colin

18 publications

ICLR 2023 Max-Margin Works While Large Margin Fails: Generalization Without Uniform Convergence Margalit Glasgow, Colin Wei, Mary Wootters, Tengyu Ma

NeurIPS 2022 Beyond Separability: Analyzing the Linear Transferability of Contrastive Representations to Related Subpopulations Jeff Z. HaoChen, Colin Wei, Ananya Kumar, Tengyu Ma

ICLR 2022 Certified Robustness for Deep Equilibrium Models via Interval Bound Propagation Colin Wei, J Zico Kolter

NeurIPS 2022 Statistically Meaningful Approximation: A Case Study on Approximating Turing Machines with Transformers Colin Wei, Yining Chen, Tengyu Ma

NeurIPS 2021 Provable Guarantees for Self-Supervised Deep Learning with Spectral Contrastive Loss Jeff Z. HaoChen, Colin Wei, Adrien Gaidon, Tengyu Ma

COLT 2021 Shape Matters: Understanding the Implicit Bias of the Noise Covariance Jeff Z. HaoChen, Colin Wei, Jason Lee, Tengyu Ma

ICLR 2021 Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data Colin Wei, Kendrick Shen, Yining Chen, Tengyu Ma

NeurIPS 2021 Why Do Pretrained Language Models Help in Downstream Tasks? an Analysis of Head and Prompt Tuning Colin Wei, Sang Michael Xie, Tengyu Ma

ICLR 2020 Improved Sample Complexities for Deep Neural Networks and Robust Classification via an All-Layer Margin Colin Wei, Tengyu Ma

NeurIPS 2020 Self-Training Avoids Using Spurious Features Under Domain Shift Yining Chen, Colin Wei, Ananya Kumar, Tengyu Ma

ICML 2020 The Implicit and Explicit Regularization Effects of Dropout Colin Wei, Sham Kakade, Tengyu Ma

NeurIPS 2019 Data-Dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation Colin Wei, Tengyu Ma

NeurIPS 2019 Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Arechiga, Tengyu Ma

NeurIPS 2019 Regularization Matters: Generalization and Optimization of Neural Nets V.s. Their Induced Kernel Colin Wei, Jason Lee, Qiang Liu, Tengyu Ma

NeurIPS 2019 Towards Explaining the Regularization Effect of Initial Large Learning Rate in Training Neural Networks Yuanzhi Li, Colin Wei, Tengyu Ma

AAAI 2017 General Bounds on Satisfiability Thresholds for Random CSPs via Fourier Analysis Colin Wei, Stefano Ermon

AISTATS 2017 Markov Chain Truncation for Doubly-Intractable Inference Colin Wei, Iain Murray

ECCV 2016 Generic 3D Representation via Pose Estimation and Matching Amir R. Zamir, Tilman Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, Silvio Savarese