| 2025 | ICLR | Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context. | Spencer Frei, Gal Vardi |
| 2024 | ICLR | Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data. | Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu |
| 2024 | ICML | Minimum-Norm Interpolation Under Covariate Shift. | Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu |
| 2023 | COLT | Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. | Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro |
| 2023 | ICLR | Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data. | Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro, Wei Hu |
| 2022 | AISTATS | Self-training Converts Weak Learners to Strong Learners in Mixture Models. | Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu |
| 2022 | COLT | Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. | Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett |
| 2021 | ICML | Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins. | Spencer Frei, Yuan Cao, Quanquan Gu |
| 2021 | ICML | Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. | Spencer Frei, Yuan Cao, Quanquan Gu |
| 2021 | ICML | Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. | Difan Zou, Spencer Frei, Quanquan Gu |