Theo dõi
Sutanu Gayen
Sutanu Gayen
Assistant Professor, IIT Kanpur
Email được xác minh tại cse.iitk.ac.in - Trang chủ
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Năm
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
392021
On Approximating Total Variation Distance
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
arXiv preprint arXiv:2206.07209, 2022
262022
Efficient distance approximation for structured high-dimensional distributions via learning
A Bhattacharyya, S Gayen, KS Meel, NV Vinodchandran
Advances in Neural Information Processing Systems 33, 14699-14711, 2020
262020
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
142018
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
13*2020
Efficient interventional distribution learning in the PAC framework
A Bhattacharyya, S Gayen, S Kandasamy, V Raval, VN Variyam
International Conference on Artificial Intelligence and Statistics, 7531-7549, 2022
11*2022
Testing Product Distributions: A Closer Look
A Bhattacharyya, S Gayen, S Kandasamy, NV Vinodchandran
Algorithmic Learning Theory, 367-396, 2021
72021
Perfect Zero Knowledge: New Upperbounds and Relativized Separations
P Dixon, S Gayen, A Pavan, NV Vinodchandran
Theory of Cryptography Conference, 684-704, 2020
72020
Learning Sparse Fixed-Structure Gaussian Bayesian Networks
A Bhattacharyya, D Choo, R Gajjala, S Gayen, Y Wang
International Conference on Artificial Intelligence and Statistics, 9400-9429, 2022
42022
Total Variation Distance Meets Probabilistic Inference
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
Forty-first International Conference on Machine Learning, 0
4*
New algorithms for distributed sliding windows
S Gayen, NV Vinodchandran
16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018 …, 2018
32018
Distribution Learning Meets Graph Structure Sampling
A Bhattacharyya, S Gayen, PG John, S Sen, NV Vinodchandran
arXiv preprint arXiv:2405.07914, 2024
22024
Algorithms for k-median Clustering over Distributed Streams
S Gayen, NV Vinodchandran
Computing and Combinatorics: 22nd International Conference, COCOON 2016, Ho …, 2016
22016
Computational Explorations of Total Variation Distance
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
arXiv preprint arXiv:2412.10370, 2024
12024
Learnability of Parameter-Bounded Bayes Nets
A Bhattacharyya, D Choo, S Gayen, D Myrisiotis
arXiv preprint arXiv:2407.00927, 2024
12024
Algorithms and Hardness for Estimating Statistical Similarity
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
arXiv preprint arXiv:2502.10527, 2025
2025
Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information
S Gayen, S Kale, S Sen
arXiv preprint arXiv:2411.11516, 2024
2024
Total Variation Distance for Product Distributions is -Complete
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
arXiv preprint arXiv:2405.08255, 2024
2024
Estimating Statistical Similarity Between Product Distributions
A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ...
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