Spencer Frei - RankMe

39 papers A* 13A 1Journal 24

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Benign Overfitting and the Geometry of the Ridge Regression Solution in Binary Classification. CoRR Alexander Tsigler, Luiz F. O. Chamon, Spencer Frei, Peter L. Bartlett
2025	J	`jnl`	The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning. J. Mach. Learn. Res. Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu
2025	A*	`conf`	Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context. ICLR Spencer Frei, Gal Vardi
2025	J	`jnl`	Understanding In-Context Learning of Linear Models in Transformers Through an Adversarial Lens. Trans. Mach. Learn. Res. Usman Anwar, Johannes von Oswald, Louis Kirsch, David Krueger, Spencer Frei
2024	J	`jnl`	Adversarial Robustness of In-Context Learning in Transformers for Linear Regression. CoRR Usman Anwar, Johannes von Oswald, Louis Kirsch, David Krueger, Spencer Frei
2024	A*	`conf`	Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data. ICLR Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu
2024	J	`jnl`	Benign Overfitting in Single-Head Attention. CoRR Roey Magen, Shuning Shang, Zhiwei Xu, Spencer Frei, Wei Hu, Gal Vardi
2024	A*	`conf`	Minimum-Norm Interpolation Under Covariate Shift. ICML Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
2024	J	`jnl`	Minimum-Norm Interpolation Under Covariate Shift. CoRR Neil Mallinar, Austin Zane, Spencer Frei, Bin Yu
2024	J	`jnl`	Trained Transformer Classifiers Generalize and Exhibit Benign Overfitting In-Context. CoRR Spencer Frei, Gal Vardi
2024	J	`jnl`	Trained Transformers Learn Linear Models In-Context. J. Mach. Learn. Res. Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
2023	J	`jnl`	Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data. CoRR Zhiwei Xu, Yutong Wang, Spencer Frei, Gal Vardi, Wei Hu
2023	A*	`conf`	Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. COLT Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro
2023	J	`jnl`	Benign Overfitting in Linear Classifiers and Leaky ReLU Networks from KKT Conditions for Margin Maximization. CoRR Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro
2023	A*	`conf`	Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data. ICLR Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro, Wei Hu
2023	J	`jnl`	Random Feature Amplification: Feature Learning and Generalization in Neural Networks. J. Mach. Learn. Res. Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett
2023	A*	`conf`	The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks. NeurIPS Spencer Frei, Gal Vardi, Peter L. Bartlett, Nati Srebro
2023	J	`jnl`	The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks. CoRR Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro
2023	J	`jnl`	The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning. CoRR Nikhil Ghosh, Spencer Frei, Wooseok Ha, Bin Yu
2023	J	`jnl`	Trained Transformers Learn Linear Models In-Context. CoRR Ruiqi Zhang, Spencer Frei, Peter L. Bartlett
2022	A*	`conf`	Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. COLT Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett
2022	J	`jnl`	Benign Overfitting without Linearity: Neural Network Classifiers Trained by Gradient Descent for Noisy Linear Data. CoRR Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett
2022	J	`jnl`	Implicit Bias in Leaky ReLU Networks Trained on High-Dimensional Data. CoRR Spencer Frei, Gal Vardi, Peter L. Bartlett, Nathan Srebro, Wei Hu
2022	J	`jnl`	Random Feature Amplification: Feature Learning and Generalization in Neural Networks. CoRR Spencer Frei, Niladri S. Chatterji, Peter L. Bartlett
2022	A	`conf`	Self-training Converts Weak Learners to Strong Learners in Mixture Models. AISTATS Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
2021	A*	`conf`	Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins. ICML Spencer Frei, Yuan Cao, Quanquan Gu
2021	A*	`conf`	Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. ICML Spencer Frei, Yuan Cao, Quanquan Gu
2021	J	`jnl`	Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise. CoRR Spencer Frei, Yuan Cao, Quanquan Gu
2021	A*	`conf`	Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. ICML Difan Zou, Spencer Frei, Quanquan Gu
2021	J	`jnl`	Provable Robustness of Adversarial Training for Learning Halfspaces with Noise. CoRR Difan Zou, Spencer Frei, Quanquan Gu
2021	A*	`conf`	Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent. NeurIPS Spencer Frei, Quanquan Gu
2021	J	`jnl`	Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent. CoRR Spencer Frei, Quanquan Gu
2021	J	`jnl`	Self-training Converts Weak Learners to Strong Learners in Mixture Models. CoRR Spencer Frei, Difan Zou, Zixiang Chen, Quanquan Gu
2021	—	`—`	Statistical Learning with Neural Networks Trained by Gradient Descent. Spencer Frei
2020	J	`jnl`	Agnostic Learning of Halfspaces with Gradient Descent via Soft Margins. CoRR Spencer Frei, Yuan Cao, Quanquan Gu
2020	A*	`conf`	Agnostic Learning of a Single Neuron with Gradient Descent. NeurIPS Spencer Frei, Yuan Cao, Quanquan Gu
2020	J	`jnl`	Agnostic Learning of a Single Neuron with Gradient Descent. CoRR Spencer Frei, Yuan Cao, Quanquan Gu
2019	A*	`conf`	Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks. NeurIPS Spencer Frei, Yuan Cao, Quanquan Gu
2019	J	`jnl`	Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks. CoRR Spencer Frei, Yuan Cao, Quanquan Gu