Pragya Sur
Affiliations:- Harvard University, Cambridge, MA, USA
According to our database1,
Pragya Sur
authored at least 11 papers
between 2017 and 2024.
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Bibliography
2024
CoRR, 2024
2023
Spectrum-Aware Adjustment: A New Debiasing Framework with Applications to Principal Components Regression.
CoRR, 2023
2022
CoRR, 2022
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
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