Pragya Sur - RankMe

18 papers A* 1A 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Multi-layer Cross-Attention is Provably Optimal for Multi-modal In-context Learning. CoRR Nicholas Barnfield, Subhabrata Sen, Pragya Sur
2025	J	`jnl`	Optimal and Provable Calibration in High-Dimensional Binary Classification: Angular Calibration and Platt Scaling. CoRR Yufan Li, Pragya Sur
2025	J	`jnl`	Preventing Model Collapse Under Overparametrization: Optimal Mixing Ratios for Interpolation Learning and Ridge Regression. CoRR Anvit Garg, Sohom Bhattacharya, Pragya Sur
2025	A	`conf`	ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data. AISTATS Kevin Luo, Yufan Li, Pragya Sur
2024	J	`jnl`	Generalization error of min-norm interpolators in transfer learning. CoRR Yanke Song, Sohom Bhattacharya, Pragya Sur
2024	J	`jnl`	Predictive Inference in Multi-environment Scenarios. CoRR John C. Duchi, Suyash Gupta, Kuanhao Jiang, Pragya Sur
2024	J	`jnl`	ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data. CoRR Kevin Luo, Yufan Li, Pragya Sur
2024	J	`jnl`	Universality in Block Dependent Linear Models With Applications to Nonlinear Regression. IEEE Trans. Inf. Theory Samriddha Lahiry, Pragya Sur
2023	J	`jnl`	Spectrum-Aware Adjustment: A New Debiasing Framework with Applications to Principal Components Regression. CoRR Yufan Li, Pragya Sur
2022	A*	`conf`	A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. NeurIPS Lijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nati Srebro
2022	J	`jnl`	A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. CoRR Lijia Zhou, Frederic Koehler, Pragya Sur, Danica J. Sutherland, Nathan Srebro
2022	J	`jnl`	High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models. CoRR Tengyuan Liang, Subhabrata Sen, Pragya Sur
2022	J	`jnl`	Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling. CoRR Cathy Shyr, Pragya Sur, Giovanni Parmigiani, Prasad Patil
2020	J	`jnl`	A Precise High-Dimensional Asymptotic Theory for Boosting and Min-L1-Norm Interpolated Classifiers. CoRR Tengyuan Liang, Pragya Sur
2020	—	`conf`	Abstracting Fairness: Oracles, Metrics, and Interpretability. FORC Cynthia Dwork, Christina Ilvento, Guy N. Rothblum, Pragya Sur
2020	J	`jnl`	Abstracting Fairness: Oracles, Metrics, and Interpretability. CoRR Cynthia Dwork, Christina Ilvento, Guy N. Rothblum, Pragya Sur
2020	J	`jnl`	Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations. CoRR Zhun Deng, Frances Ding, Cynthia Dwork, Rachel Hong, Giovanni Parmigiani, Prasad Patil, Pragya Sur
2017	J	`jnl`	The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square. CoRR Pragya Sur, Yuxin Chen, Emmanuel J. Candès