Aaditya Ramdas

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	Všetky	Od 2020
Citácie	8559	7478
h-index	45	44
i10-index	120	115

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Na základe mandátov na financovanie

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Larry WassermanProfessor, Department of Statistics and Machine Learning Department, Carnegie Mellon UniversityOverená e-mailová adresa na: stat.cmu.edu
Rina Foygel BarberUniversity of ChicagoOverená e-mailová adresa na: uchicago.edu
Ryan TibshiraniProfessor of Statistics, UC BerkeleyOverená e-mailová adresa na: berkeley.edu
Emmanuel CandesThe Simons Chair in Mathematics and Statistics, Stanford UniversityOverená e-mailová adresa na: stanford.edu
Michael I. JordanProfessor of Electrical Engineering and Computer Sciences and Professor of Statistics, UC BerkeleyOverená e-mailová adresa na: cs.berkeley.edu
Aarti SinghProfessor of Machine Learning Department, Carnegie Mellon UniversityOverená e-mailová adresa na: cmu.edu
Martin WainwrightProfessor, EECS/Mathematics, Massachusetts Institute of TechnologyOverená e-mailová adresa na: mit.edu
Ruodu WangUniversity of WaterlooOverená e-mailová adresa na: uwaterloo.ca
Chirag GuptaCarnegie Mellon UniversityOverená e-mailová adresa na: cmu.edu
Alessandro RinaldoThe University of Texas at AustinOverená e-mailová adresa na: austin.utexas.edu
Johannes RufLondon School of EconomicsOverená e-mailová adresa na: lse.ac.uk
Barnabas PoczosAssociate professor, Carnegie Mellon UniversityOverená e-mailová adresa na: cs.cmu.edu
Leila WehbeCarnegie Mellon UniversityOverená e-mailová adresa na: cmu.edu
Eugene KatsevichAssistant Professor, Wharton Statistics DepartmentOverená e-mailová adresa na: wharton.upenn.edu
Zhiwei Steven WuCarnegie Mellon UniversityOverená e-mailová adresa na: andrew.cmu.edu
Jaehyeok ShinGoogleOverená e-mailová adresa na: google.com
Shubhanshu ShekharUniversity of MichiganOverená e-mailová adresa na: umich.edu
Sivaraman BalakrishnanCarnegie Mellon UniversityOverená e-mailová adresa na: stat.cmu.edu
Aleksandr PodkopaevCarnegie Mellon UniversityOverená e-mailová adresa na: cmu.edu
Jasjeet SekhonEugene Meyer Professor of Data Science, Political Science, and Statistics, Yale UniversityOverená e-mailová adresa na: yale.edu

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Aaditya Ramdas

Associate Professor (with tenure), Carnegie Mellon University

Overená e-mailová adresa na: stat.cmu.edu - Domovská stránka

Machine Learning Statistics


Názov Zoradiť podľa citácií Zoradiť podľa roka Zoradiť podľa názvu	Citované v Citované v	Rok
On Wasserstein Two Sample Testing and Related Families of Nonparametric Tests A Ramdas, N Garcia, M Cuturi Entropy, Special Issue on Statistical Significance and the Logic of …, 2017	584	2017
Conformal prediction under covariate shift RJ Tibshirani, RF Barber, EJ Candès, A Ramdas Advances in Neural Information Processing Systems 32, 2019	464	2019
Predictive inference with the jackknife+ RF Barber, EJ Candes, A Ramdas, RJ Tibshirani The Annals of Statistics, 2021	360	2021
Simultaneously uncovering the patterns of brain regions involved in different story reading subprocesses L Wehbe, B Murphy, P Talukdar, A Fyshe, A Ramdas, T Mitchell PLOS One, 2014	346	2014
Time-uniform, nonparametric, nonasymptotic confidence sequences SR Howard, A Ramdas, J McAuliffe, J Sekhon The Annals of Statistics, 2021	327	2021
The limits of distribution-free conditional predictive inference RF Barber, EJ Candès, A Ramdas, RJ Tibshirani Information and Inference: A Journal of the IMA, 2020	270*	2020
Conformal prediction beyond exchangeability RF Barber, EJ Candes, A Ramdas, RJ Tibshirani The Annals of Statistics 51 (2), 816-845, 2023	261	2023
Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ... International Conference on Learning Representations (ICLR), 2017, 2016	244	2016
Convergence properties of the randomized extended Gauss-Seidel and Kaczmarz methods A Ma, D Needell, A Ramdas SIAM Journal on Matrix Analysis and Applications, 2015	225	2015
Universal Inference L Wasserman, A Ramdas, S Balakrishnan Proceedings of the National Academy of Sciences, 2020	220	2020
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions A Ramdas, S Jakkam Reddi, B Póczos, A Singh, L Wasserman 29th AAAI Conference on Artificial Intelligence, 2015	210	2015
Estimating means of bounded random variables by betting I Waudby-Smith, A Ramdas Journal of the Royal Statistical Society, Series B (Methodology), with …, 2022	205	2022
Fast Two-Sample Testing with Analytic Representations of Probability Measures K Chwialkowski, A Ramdas, D Sejdinovic, A Gretton 29th Conference on Neural Information Processing Systems, 2015	184	2015
Algorithms for graph similarity and subgraph matching D Koutra, A Parikh, A Ramdas, J Xiang Technical report, Carnegie Mellon University, 2011	167	2011
Game-theoretic statistics and safe anytime-valid inference A Ramdas, P Grünwald, V Vovk, G Shafer Statistical Science, 2023	166	2023
Time-uniform Chernoff bounds via nonnegative supermartingales SR Howard, A Ramdas, J McAuliffe, J Sekhon Probability Surveys, 2020	157*	2020
Fast and flexible ADMM algorithms for trend filtering A Ramdas, RJ Tibshirani Journal of Computational and Graphical Statistics, 2014	154	2014
False discovery rate control with e-values R Wang, A Ramdas Journal of the Royal Statistical Society: Series B, 2022	125	2022
A unified treatment of multiple testing with prior knowledge using the p-filter A Ramdas, RF Barber, MJ Wainwright, MI Jordan The Annals of Statistics, 2019	122	2019
Asymptotic behavior of -based Laplacian regularization in semi-supervised learning A El Alaoui, X Cheng, A Ramdas, MJ Wainwright, MI Jordan 29th Annual Conference on Learning Theory, 879-906, 2016	120	2016

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