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Articles by
Pragya Sur
Predictive Inference in Multi-environment Scenarios
25 March 2024 by
John Duchi
and
others
Machine Learning
,
Statistics Theory
Universality in block dependent linear models with applications to nonparametric regression
30 December 2023 by
Samriddha Lahiry
and
Pragya Sur
Statistics Theory
Spectrum-Aware Adjustment: A New Debiasing Framework with Applications to Principal Component Regression
17 October 2023 by
Yufan Li
and
Pragya Sur
Statistics Theory
,
Information Theory
The Asymptotic Distribution of the MLE in High-dimensional Logistic Models: Arbitrary Covariance
4 January 2023 by
Qian Zhao
and
others
Statistics Theory
,
Methodology
A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond
25 October 2022 by
Kuanhao Jiang
and
others
Statistics Theory
,
Econometrics
A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models
21 October 2022 by
Lijia Zhou
and
others
Machine Learning
,
Statistics Theory
Multi-Study Boosting: Theoretical Considerations for Merging vs. Ensembling
13 July 2022 by
Cathy Shyr
and
others
Machine Learning
High-dimensional Asymptotics of Langevin Dynamics in Spiked Matrix Models
9 April 2022 by
Tengyuan Liang
and
others
Statistics Theory
,
Machine Learning
A Precise High-Dimensional Asymptotic Theory for Boosting and Minimum-L1-Norm Interpolated Classifiers
21 July 2020 by
Tengyuan Liang
and
Pragya Sur
Statistics Theory
,
Information Theory
Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations
20 June 2020 by
Zhun Deng
and
others
Machine Learning
Abstracting Fairness: Oracles, Metrics, and Interpretability
4 April 2020 by
Cynthia Dwork
and
others
Machine Learning
The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression
25 April 2018 by
Emmanuel Candés
and
Pragya Sur
Methodology
,
Machine Learning
A modern maximum-likelihood theory for high-dimensional logistic regression
23 March 2018 by
Pragya Sur
and
Emmanuel Candés
Statistics Theory
,
Methodology
The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square
5 June 2017 by
Pragya Sur
and
others
Statistics Theory
,
Information Theory
Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models
23 January 2014 by
Pragya Sur
and
others
Methodology