| 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 | 317 | 2008 |
| Optimal testing for properties of distributions J Acharya, C Daskalakis, G Kamath Advances in Neural Information Processing Systems 28, 2015 | 140 | 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 | 111* | 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 | 81 | 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 | 79 | 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 | 78 | 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 | 77 | 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 | 72* | 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 | 65 | 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 | 59 | 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 | 53 | 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 | 53* | 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 | 52 | 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 | 42 | 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 |
| 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 | 32 | 2020 |
| A chasm between identity and equivalence testing with conditional queries J Acharya, CL Canonne, G Kamath arXiv preprint arXiv:1411.7346, 2014 | 32 | 2014 |
| 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 |
Alon OrlitskyUC San DiegoVerified email at eng.ucsd.edu
