Sahai, Anant

7 publications

ICLR 2025 Provable Weak-to-Strong Generalization via Benign Overfitting David Xing Wu, Anant Sahai

ICMLW 2024 Polynomial Regression as a Task for Understanding In-Context Learning Through Finetuning and Alignment Max Wilcoxson, Morten Svendgård, Ria Doshi, Dylan Davis, Reya Vir, Anant Sahai

NeurIPSW 2024 Provable Weak-to-Strong Generalization via Benign Overfitting David Xing Wu, Anant Sahai

NeurIPS 2023 Precise Asymptotic Generalization for Multiclass Classification with Overparameterized Linear Models David Wu, Anant Sahai

NeurIPS 2022 Generalization for Multiclass Classification with Overparameterized Linear Models Vignesh Subramanian, Rahul Arya, Anant Sahai

JMLR 2021 Classification vs Regression in Overparameterized Regimes: Does the Loss Function Matter? Vidya Muthukumar, Adhyyan Narang, Vignesh Subramanian, Mikhail Belkin, Daniel Hsu, Anant Sahai

AISTATS 2019 Best of Many Worlds: Robust Model Selection for Online Supervised Learning Vidya Muthukumar, Mitas Ray, Anant Sahai, Peter Bartlett