P. Sur

Most-cited papers

1. A modern maximum-likelihood theory for high-dimensional logistic regression

   P. Sur, E. Candès

   2018Proceedings of the National Academy of Sciences of the United States of America347 citations Open access

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2. The phase transition for the existence of the maximum likelihood estimate in high-dimensional logistic regression

   E. Candès, P. Sur

   2018Annals of Statistics158 citations Open access

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3. The likelihood ratio test in high-dimensional logistic regression is asymptotically a rescaled Chi-square

   P. Sur, Yuxin Chen, E. Candès

   2017Probability theory and related fields104 citations Open access

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

   Tengyuan Liang, P. Sur

   2020Social Science Research Network75 citations Open access

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5. Supplemental Materials for : “ The Likelihood Ratio Test in High-Dimensional Logistic Regression Is Asymptotically a Rescaled Chi-Square ”

   P. Sur, Yuxin Chen, E. Candès

   201754 citations

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6. The asymptotic distribution of the MLE in high-dimensional logistic models: Arbitrary covariance

   Qian Zhao, P. Sur, E. Candès

   2020Bernoulli50 citations Open access

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7. Representation via Representations: Domain Generalization via Adversarially Learned Invariant Representations

   Zhun Deng, Frances Ding, C. Dwork, Rachel Hong +3 more

   2020arXiv.org34 citations

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8. Modeling Bimodal Discrete Data Using Conway-Maxwell-Poisson Mixture Models

   P. Sur, Galit Shmueli, Smarajit Bose, Paromita Dubey

   201325 citations Open access

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9. A New Central Limit Theorem for the Augmented IPW Estimator: Variance Inflation, Cross-Fit Covariance and Beyond

   Kuanhao Jiang, R. Mukherjee, Subhabrata Sen, P. Sur

   202217 citations

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

    Lijia Zhou, Frederic Koehler, P. Sur, Danica J. Sutherland +1 more

    2022Neural Information Processing Systems13 citations Open access

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

    Tengyuan Liang, Subhabrata Sen, P. Sur

    2022Information and Inference A Journal of the IMA12 citations Open access

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12. Abstracting Fairness: Oracles, Metrics, and Interpretability

    C. Dwork, Christina Ilvento, G. Rothblum, P. Sur

    2020Symposium on Foundations of Responsible Computing10 citations

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13. nth-Nearest neighbour distribution functions of a binary fluid mixture

    P. Sur, B. Bhattacharjee

    20095 citations Open access

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14. Fitting Com-Poisson Mixtures to Bimodal Count Data

    Smarajit Bose, Galit Shmueli, P. Sur, Paromita Dubey

    20133 citations

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

    Cathy Shyr, P. Sur, G. Parmigiani, Prasad Patil

    2022arXiv.org2 citations Open access

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16. A Theoretical View of Adversarial Domain Generalization in the Hierarchical Model Setting ∗

    Zhun Deng, Frances Ding, C. Dwork, Rachel Hong +3 more

    20210 citations

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17. Stats 300 C : Theory of Statistics Spring 2017 Lecture 7 — April 17 , 2017

    E. Candès, P. Sur, Jingang Miao

    20170 citations

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