Jayadev Acharya
Jayadev Acharya
Assistant Professor, Cornell University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
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
2952008
Optimal testing for properties of distributions
J Acharya, C Daskalakis, G Kamath
arXiv preprint arXiv:1507.05952, 2015
1262015
Hadamard response: Estimating distributions privately, efficiently, and with little communication
J Acharya, Z Sun, H Zhang
arXiv preprint arXiv:1802.04705, 2018
73*2018
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
702014
Near-optimal-sample estimators for spherical gaussian mixtures
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
arXiv preprint arXiv:1402.4746, 2014
702014
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
692017
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
61*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
592017
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
582011
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
512020
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
422019
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
arXiv preprint arXiv:1707.05128, 2017
422017
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
41*2015
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
392012
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
372015
Optimal probability estimation with applications to prediction and classification
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
Conference on Learning Theory, 764-796, 2013
342013
A competitive test for uniformity of monotone distributions
J Acharya, A Jafarpour, A Orlitsky, A Suresh
Artificial Intelligence and Statistics, 57-65, 2013
302013
Learning and testing causal models with interventions
J Acharya, A Bhattacharyya, C Daskalakis, S Kandasamy
arXiv preprint arXiv:1805.09697, 2018
292018
A chasm between identity and equivalence testing with conditional queries
J Acharya, CL Canonne, G Kamath
arXiv preprint arXiv:1411.7346, 2014
282014
Sorting with adversarial comparators and application to density estimation
J Acharya, A Jafarpour, A Orlitsky, AT Suresh
2014 IEEE International Symposium on Information Theory, 1682-1686, 2014
272014
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Articles 1–20