Jayadev Acharya

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Alon OrlitskyUC San DiegoDirección de correo verificada de eng.ucsd.edu
Ananda Theertha SureshSenior Research Scientist, Google New YorkDirección de correo verificada de google.com
Ziteng SunPh.D Student at Cornell UniversityDirección de correo verificada de cornell.edu
Himanshu TyagiIndian Institute of ScienceDirección de correo verificada de iisc.ac.in
Clément L. CanonneUniversity of SydneyDirección de correo verificada de sydney.edu.au
Ashkan JafarpourTwitterDirección de correo verificada de twitter.com
Hirakendu DasYahoo Research at Verizon MediaDirección de correo verificada de verizonmedia.com
Shengjun PanDirección de correo verificada de eng.ucsd.edu
Huanyu ZhangCornell UniversityDirección de correo verificada de cornell.edu
Gautam KamathAssistant Professor, University of WaterlooDirección de correo verificada de uwaterloo.ca
Constantinos DaskalakisProfessor of Computer Science, MITDirección de correo verificada de csail.mit.edu
Jerry LiMicrosoft ResearchDirección de correo verificada de mit.edu
Ilias DiakonikolasUniversity of Wisconsin-MadisonDirección de correo verificada de wisc.edu
Ludwig SchmidtToyota Research and University of WashingtonDirección de correo verificada de cs.washington.edu
Aaron B. WagnerProfessor, Electrical and Computer Engineering, Cornell UniversityDirección de correo verificada de cornell.edu
Prasanta K. PanigrahiProfessor of Physics, IISER KolkataDirección de correo verificada de iiserkol.ac.in
Amit VermaEmory University, University of Florida, Physical Research Laboratory, Dhirubhai Ambani Institute ofDirección de correo verificada de emory.edu
Siddharth AroraDirección de correo verificada de maths.ox.ac.uk
Olgica MilenkovicUniversity of IllinoisDirección de correo verificada de illinois.edu
Sourbh BhadaneCornell UniversityDirección de correo verificada de cornell.edu

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Jayadev Acharya

Assistant Professor, Cornell University

Dirección de correo verificada de cornell.edu - Página principal

Learning theory information theory statistics algorithms


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Multilevel thresholding for image segmentation through a fast statistical recursive algorithm S Arora, J Acharya, A Verma, PK Panigrahi Pattern Recognition Letters 29 (2), 119-125, 2008	313	2008
Optimal testing for properties of distributions J Acharya, C Daskalakis, G Kamath Advances in Neural Information Processing Systems 28, 2015	138	2015
Hadamard response: Estimating distributions privately, efficiently, and with little communication J Acharya, Z Sun, H Zhang The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	107*	2019
Near-optimal-sample estimators for spherical gaussian mixtures AT Suresh, A Orlitsky, J Acharya, A Jafarpour Advances in Neural Information Processing Systems 27, 2014	80	2014
Sample-optimal density estimation in nearly-linear time J Acharya, I Diakonikolas, J Li, L Schmidt Proceedings of the Twenty-Eighth Annual ACM-SIAM Symposium on Discrete …, 2017	76	2017
Inference under information constraints I: Lower bounds from chi-square contraction J Acharya, CL Canonne, H Tyagi IEEE Transactions on Information Theory 66 (12), 7835-7855, 2020	74	2020
The complexity of estimating Rényi entropy J Acharya, A Orlitsky, AT Suresh, H Tyagi Proceedings of the Twenty-Sixth Annual ACM-SIAM Symposium on Discrete …, 2014	74	2014
A unified maximum likelihood approach for estimating symmetric properties of discrete distributions J Acharya, H Das, A Orlitsky, AT Suresh International Conference on Machine Learning, 11-21, 2017	71*	2017
Estimating Renyi Entropy of Discrete Distributions J Acharya, A Orlitsky, AT Suresh, H Tyagi IEEE Transactions on Information Theory 63 (1), 38-56, 2017	62	2017
Competitive closeness testing J Acharya, H Das, A Jafarpour, A Orlitsky, S Pan Proceedings of the 24th Annual Conference on Learning Theory, 47-68, 2011	58	2011
Differentially private testing of identity and closeness of discrete distributions J Acharya, Z Sun, H Zhang Advances in Neural Information Processing Systems 31, 2018	51	2018
String Reconstruction from Substring Compositions J Acharya, H Das, O Milenkovic, A Orlitsky, S Pan SIAM Journal on Discrete Mathematics 29 (3), 1340-1371, 2015	51*	2015
Test without trust: Optimal locally private distribution testing J Acharya, C Canonne, C Freitag, H Tyagi The 22nd International Conference on Artificial Intelligence and Statistics …, 2019	50	2019
Fast and near-optimal algorithms for approximating distributions by histograms J Acharya, I Diakonikolas, C Hegde, JZ Li, L Schmidt Proceedings of the 34th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of …, 2015	44	2015
Learning and testing causal models with interventions J Acharya, A Bhattacharyya, C Daskalakis, S Kandasamy Advances in Neural Information Processing Systems 31, 2018	39	2018
Competitive classification and closeness testing J Acharya, H Das, A Jafarpour, A Orlitsky, S Pan, A Suresh Conference on Learning Theory, 22.1-22.18, 2012	39	2012
Optimal probability estimation with applications to prediction and classification J Acharya, A Jafarpour, A Orlitsky, AT Suresh Conference on Learning Theory, 764-796, 2013	32	2013
Communication complexity in locally private distribution estimation and heavy hitters J Acharya, Z Sun International Conference on Machine Learning, 51-60, 2019	31	2019
A chasm between identity and equivalence testing with conditional queries J Acharya, CL Canonne, G Kamath arXiv preprint arXiv:1411.7346, 2014	31	2014
A competitive test for uniformity of monotone distributions J Acharya, A Jafarpour, A Orlitsky, A Suresh Artificial Intelligence and Statistics, 57-65, 2013	30	2013

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