Frei, Spencer

23 publications

NeurIPS 2025 Benign Overfitting in Single-Head Attention Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi

JMLR 2025 The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu

ICLR 2025 Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context Spencer Frei, Gal Vardi

TMLR 2025 Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens Usman Anwar, Johannes von Oswald, Louis Kirsch, David Krueger, Spencer Frei

ICLR 2024 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu

NeurIPSW 2024 Benign Overfitting in Single-Head Attention Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi

ICML 2024 Minimum-Norm Interpolation Under Covariate Shift Neil Rohit Mallinar, Austin Zane, Spencer Frei, Bin Yu

JMLR 2024 Trained Transformers Learn Linear Models In-Context Ruiqi Zhang, Spencer Frei, Peter L. Bartlett

NeurIPSW 2023 Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu

COLT 2023 Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization Spencer Frei, Gal Vardi, Peter Bartlett, Nathan Srebro

ICLR 2023 Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data Spencer Frei, Gal Vardi, Peter Bartlett, Nathan Srebro, Wei Hu

JMLR 2023 Random Feature Amplification: Feature Learning and Generalization in Neural Networks Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett

NeurIPS 2023 The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei, Gal Vardi, Peter L. Bartlett, Nati Srebro

NeurIPSW 2023 Trained Transformers Learn Linear Models In-Context Ruiqi Zhang, Spencer Frei, Peter Bartlett

AISTATS 2022 Self-Training Converts Weak Learners to Strong Learners in Mixture Models Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu

COLT 2022 Benign Overfitting Without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data Spencer Frei, Niladri S Chatterji, Peter Bartlett

NeurIPSW 2022 Gradient Dynamics of Single-Neuron Autoencoders on Orthogonal Data Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu

ICML 2021 Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins Spencer Frei, Yuan Cao, Quanquan Gu

ICML 2021 Provable Generalization of SGD-Trained Neural Networks of Any Width in the Presence of Adversarial Label Noise Spencer Frei, Yuan Cao, Quanquan Gu

ICML 2021 Provable Robustness of Adversarial Training for Learning Halfspaces with Noise Difan Zou, Spencer Frei, Quanquan Gu

NeurIPS 2021 Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent Spencer Frei, Quanquan Gu

NeurIPS 2020 Agnostic Learning of a Single Neuron with Gradient Descent Spencer Frei, Yuan Cao, Quanquan Gu

NeurIPS 2019 Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks Spencer Frei, Yuan Cao, Quanquan Gu