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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
3242008
Optimal testing for properties of distributions
J Acharya, C Daskalakis, G Kamath
Advances in Neural Information Processing Systems 28, 2015
1512015
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
128*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
862014
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
852020
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
842017
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
792014
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
77*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
702017
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
Advances in Neural Information Processing Systems 31, 2018
642018
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
592011
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
572019
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
56*2015
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
502015
Learning and testing causal models with interventions
J Acharya, A Bhattacharyya, C Daskalakis, S Kandasamy
Advances in Neural Information Processing Systems 31, 2018
462018
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
422012
Remember what you want to forget: Algorithms for machine unlearning
A Sekhari, J Acharya, G Kamath, AT Suresh
Advances in Neural Information Processing Systems 34, 18075-18086, 2021
412021
Inference under information constraints II: Communication constraints and shared randomness
J Acharya, CL Canonne, H Tyagi
IEEE Transactions on Information Theory 66 (12), 7856-7877, 2020
412020
Communication complexity in locally private distribution estimation and heavy hitters
J Acharya, Z Sun
International Conference on Machine Learning, 51-60, 2019
372019
A chasm between identity and equivalence testing with conditional queries
J Acharya, CL Canonne, G Kamath
arXiv preprint arXiv:1411.7346, 2014
352014
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