Pragya Sur

Affiliations:
  • Harvard University, Cambridge, MA, USA


According to our database1, Pragya Sur authored at least 11 papers between 2017 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Generalization error of min-norm interpolators in transfer learning.
CoRR, 2024

ROTI-GCV: Generalized Cross-Validation for right-ROTationally Invariant Data.
CoRR, 2024

Predictive Inference in Multi-environment Scenarios.
CoRR, 2024

2023
Spectrum-Aware Adjustment: A New Debiasing Framework with Applications to Principal Components Regression.
CoRR, 2023

2022
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling.
CoRR, 2022

High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models.
CoRR, 2022

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2020
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations.
CoRR, 2020

A Precise High-Dimensional Asymptotic Theory for Boosting and Min-L1-Norm Interpolated Classifiers.
CoRR, 2020

Abstracting Fairness: Oracles, Metrics, and Interpretability.
Proceedings of the 1st Symposium on Foundations of Responsible Computing, 2020

2017
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square.
CoRR, 2017


  Loading...