Pragya Sur

Affiliations:

Harvard University, Cambridge, MA, USA

According to our database¹, Pragya Sur authored at least 9 papers between 2017 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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Bibliography

2024

Predictive Inference in Multi-environment Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

2023

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

[BibT_eX]

[DOI]

Yufan Li

Pragya Sur

CoRR, 2023

2022

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

[BibT_eX]

[DOI]

CoRR, 2022

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

[BibT_eX]

[DOI]

Tengyuan Liang

Subhabrata Sen

Pragya Sur

CoRR, 2022

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

CoRR, 2020

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

[BibT_eX]

[DOI]

Tengyuan Liang

Pragya Sur

CoRR, 2020

Abstracting Fairness: Oracles, Metrics, and Interpretability.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pragya Sur

Yuxin Chen

Emmanuel J. Candès

CoRR, 2017

Pragya Sur

Timeline

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