Arun Kumar Kuchibhotla

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Andreas BujaProfessor of Statistics, The Wharton School, University of PennsylvaniaVerified email at wharton.upenn.edu
Linda ZhaoUniversity of PennsylvaniaVerified email at wharton.upenn.edu
Edward I GeorgeUniversal Furniture Professor Emeritus of Statistics, Wharton School, University of PennsylvaniaVerified email at wharton.upenn.edu
Richard BerkEmeritus Professor of Criminology and StatisticsVerified email at sas.upenn.edu
Rohit PatraLinkedInVerified email at columbia.edu
Alessandro RinaldoThe University of Texas at AustinVerified email at austin.utexas.edu
Eric J Tchetgen TchetgenUniversity ProfessorVerified email at wharton.upenn.edu
Yachong Yang (Elsa)University of PennsylvaniaVerified email at wharton.upenn.edu
Abhishek ChakraborttyAssistant Professor, Department of Statistics, Texas A&M UniversityVerified email at stat.tamu.edu
Junhui (Jeff) CaiUniversity of Notre DameVerified email at nd.edu
Pratik PatilUniversity of California BerkeleyVerified email at berkeley.edu
Aaditya RamdasAssociate Professor, Statistics and Machine Learning, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Bodhisattva SenColumbia University, New YorkVerified email at stat.columbia.edu
Ayanendranath BasuProfessor, Indian Statistical InstituteVerified email at isical.ac.in
Somabha MukherjeeAssistant Professor, Department of Statistics and Data Science, National University of SingaporeVerified email at nus.edu.sg
Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityVerified email at stat.cmu.edu
Jin-Hong DuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Chirag GuptaCarnegie Mellon UniversityVerified email at cmu.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityVerified email at stat.cmu.edu
Heejong BongPostdoctoral Research Fellow, Department of Statistics, University of MichiganVerified email at umich.edu

Arun Kumar Kuchibhotla

Carnegie Mellon University

Verified email at cmu.edu - Homepage

Post-selection Inference Concentration Inequalities High-dimensional CLT


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Moving beyond sub-Gaussianity in high-dimensional statistics: Applications in covariance estimation and linear regression AK Kuchibhotla, A Chakrabortty Information and Inference: A Journal of the IMA 11 (4), 1389-1456, 2022	151	2022
Nested conformal prediction and quantile out-of-bag ensemble methods C Gupta, AK Kuchibhotla, A Ramdas Pattern Recognition 127, 108496, 2022	106	2022
Models as Approximations II: A Model-Free Theory of Parametric Regression A Buja, L Brown, AK Kuchibhotla, R Berk, E George, L Zhao Statistical Science 34 (4), 545-565, 2019	61	2019
Valid post-selection inference in model-free linear regression AK Kuchibhotla, LD Brown, A Buja, J Cai, EI George, LH Zhao The Annals of Statistics 48 (5), 2953-2981, 2020	47*	2020
Post-selection inference AK Kuchibhotla, JE Kolassa, TA Kuffner Annual Review of Statistics and Its Application 9 (1), 505-527, 2022	45	2022
UNIFORM-IN-SUBMODEL BOUNDS FOR LINEAR REGRESSION IN A MODEL-FREE FRAMEWORK AK Kuchibhotla, LD Brown, A Buja, EI George, L Zhao Econometric Theory, 1-47, 2021	40*	2021
Exchangeability, Conformal Prediction, and Rank Tests AK Kuchibhotla arXiv preprint arXiv:2005.06095, 2020	39	2020
Semiparametric Efficiency in Convexity Constrained Single-Index Model AK Kuchibhotla, RK Patra, B Sen Journal of the American Statistical Association, 1-15, 2021	36*	2021
Efficient estimation in single index models through smoothing splines AK Kuchibhotla, RK Patra Bernoulli 26 (2), 1587-1618, 2020	35	2020
Finite-sample Efficient Conformal Prediction Y Yang, AK Kuchibhotla arXiv preprint arXiv:2104.13871, 2021	33	2021
Doubly robust calibration of prediction sets under covariate shift Y Yang, AK Kuchibhotla, E Tchetgen Tchetgen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2024	28	2024
High-dimensional CLT: Improvements, non-uniform extensions and large deviations AK Kuchibhotla, S Mukherjee, D Banerjee Bernoulli 27 (1), 192-217, 2021	26	2021
Assumption lean regression R Berk, A Buja, L Brown, E George, AK Kuchibhotla, W Su, L Zhao The American Statistician, 2019	24	2019
High-dimensional CLT for Sums of Non-degenerate Random Vectors: -rate AK Kuchibhotla, A Rinaldo arXiv preprint arXiv:2009.13673, 2020	23	2020
The HulC: confidence regions from convex hulls AK Kuchibhotla, S Balakrishnan, L Wasserman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2023	21	2023
On least squares estimation under heteroscedastic and heavy-tailed errors AK Kuchibhotla, RK Patra The Annals of Statistics 50 (1), 277-302, 2022	19	2022
Mitigating multiple descents: A model-agnostic framework for risk monotonization P Patil, AK Kuchibhotla, Y Wei, A Rinaldo arXiv preprint arXiv:2205.12937, 2022	16	2022
Nested Conformal Prediction Sets for Classification with Applications to Probation Data AK Kuchibhotla, RA Berk arXiv preprint arXiv:2104.09358, 2021	16	2021
Fair risk algorithms RA Berk, AK Kuchibhotla, E Tchetgen Tchetgen Annual Review of Statistics and Its Application 10 (1), 165-187, 2023	15	2023
Bagging in overparameterized learning: Risk characterization and risk monotonization P Patil, JH Du, AK Kuchibhotla Journal of Machine Learning Research 24 (319), 1-113, 2023	15	2023

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