Sutanu Gayen
Sutanu Gayen
Post-doctoral Research Fellow, NUS Singapore
Verified email at - Homepage
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Near-optimal learning of tree-structured distributions by Chow-Liu
A Bhattacharyya, S Gayen, E Price, NV Vinodchandran
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
Efficient Distance Approximation for Structured High-Dimensional Distributions via Learning
A Bhattacharyya, S Gayen, KS Meel, NV Vinodchandran
arXiv preprint arXiv:2002.05378, 2020
Learning and Sampling of Atomic Interventions from Observations
A Bhattacharyya, S Gayen, S Kandasamy, A Maran, VN Variyam
International Conference on Machine Learning, 842-853, 2020
Kmerestimate: A streaming algorithm for estimating k-mer counts with optimal space usage
S Behera, S Gayen, JS Deogun, NV Vinodchandran
Proceedings of the 2018 ACM International Conference on Bioinformatics …, 2018
New algorithms for distributed sliding windows
S Gayen, NV Vinodchandran
16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018), 2018
Algorithms for k-median Clustering over Distributed Streams
S Gayen, NV Vinodchandran
International Computing and Combinatorics Conference, 535-546, 2016
Perfect Zero Knowledge: New Upperbounds and Relativized Separations
P Dixon, S Gayen, A Pavan, NV Vinodchandran
Theory of Cryptography Conference, 684-704, 2020
Efficient inference of interventional distributions
A Bhattacharyya, S Gayen, S Kandasamy, V Raval, NV Vinodchandran
arXiv preprint arXiv:2107.11712, 2021
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
A Bhattacharyya, D Choo, R Gajjala, S Gayen, Y Wang
arXiv preprint arXiv:2107.10450, 2021
Testing Product Distributions: A Closer Look
A Bhattacharyya, S Gayen, S Kandasamy, NV Vinodchandran
Algorithmic Learning Theory, 367-396, 2021
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