Sur, Pragya

4 publications

ICLR 2026 Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression Anvit Garg, Sohom Bhattacharya, Pragya Sur

NeurIPS 2025 Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling Yufan Li, Pragya Sur

AISTATS 2025 ROTI-GCV: Generalized Cross-Validation for Right-ROTationally Invariant Data Kevin Luo, Yufan Li, Pragya Sur

NeurIPS 2022 A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models Lijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nati Srebro