Seguir
Jayadev Acharya
Jayadev Acharya
Assistant Professor, Cornell University
Dirección de correo verificada de cornell.edu - Página principal
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
3732008
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
2062021
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
1832019
Optimal testing for properties of distributions
J Acharya, C Daskalakis, G Kamath
Advances in Neural Information Processing Systems 28, 2015
1702015
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
1152020
Near-optimal-sample estimators for spherical gaussian mixtures
AT Suresh, A Orlitsky, J Acharya, A Jafarpour
Advances in Neural Information Processing Systems 27, 2014
982014
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
972017
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
87*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
872017
Differentially private testing of identity and closeness of discrete distributions
J Acharya, Z Sun, H Zhang
Advances in Neural Information Processing Systems 31, 2018
862018
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
822014
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
682019
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
652011
Communication complexity in locally private distribution estimation and heavy hitters
J Acharya, Z Sun
International Conference on Machine Learning, 51-60, 2019
612019
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
61*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
612015
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
602020
Differentially private assouad, fano, and le cam
J Acharya, Z Sun, H Zhang
Algorithmic Learning Theory, 48-78, 2021
592021
Learning and testing causal models with interventions
J Acharya, A Bhattacharyya, C Daskalakis, S Kandasamy
Advances in Neural Information Processing Systems 31, 2018
592018
Context aware local differential privacy
J Acharya, K Bonawitz, P Kairouz, D Ramage, Z Sun
International Conference on Machine Learning, 52-62, 2020
482020
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20