Sutanu Gayen

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Vinodchandran VariyamProfessor, Computer Science and Engineering, University of Nebraska-LincolnE-mailová adresa ověřena na: cse.unl.edu
Arnab BhattacharyyaAssociate Professor, National University of SingaporeE-mailová adresa ověřena na: nus.edu.sg
Kuldeep S. MeelAssociate Professor, University of TorontoE-mailová adresa ověřena na: cs.toronto.edu
Pavan AduriIowa State UniversityE-mailová adresa ověřena na: cs.iastate.edu
Dimitrios MyrisiotisPostdoc at NUSE-mailová adresa ověřena na: nus.edu.sg
Saravanan KandasamyPhD student, Cornell UniversityE-mailová adresa ověřena na: cornell.edu
Eric PriceAssociate Professor of Computer Science at the University of Texas at AustinE-mailová adresa ověřena na: cs.utexas.edu
Vedant RavalGraduate student at USCE-mailová adresa ověřena na: usc.edu
Saravanan KandasamyBiological and Chemical Research Centre, University of Warsaw, PolandE-mailová adresa ověřena na: uw.edu.pl
Sairam BeheraHuman Genome Sequencing Center, Baylor College of MedicineE-mailová adresa ověřena na: bcm.edu
Dr. Jitender DeogunProfessor of Computer Science and Engineering, University of Nebraska-LincolnE-mailová adresa ověřena na: unl.edu
Davin ChooNational University of SingaporeE-mailová adresa ověřena na: u.nus.edu
Peter DixonBen-Gurion University of the NegevE-mailová adresa ověřena na: bgu.ac.il
Yuhao WangNational University of SingaporeE-mailová adresa ověřena na: comp.nus.edu.sg
Rishikesh GajjalaIndian Institute of ScienceE-mailová adresa ověřena na: iisc.ac.in
Sayantan SenCentre for Quantum Technologies, National University of SingaporeE-mailová adresa ověřena na: nus.edu.sg

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Sutanu Gayen

Assistant Professor, IIT Kanpur

E-mailová adresa ověřena na: cse.iitk.ac.in - Domovská stránka

Algorithms Statistics Foundations of machine learning Streaming algorithms


Název Seřadit podle citací Seřadit podle roku Seřadit podle názvu	Citace Citace	Rok
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	32	2021
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	19	2020
On Approximating Total Variation Distance A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ... arXiv preprint arXiv:2206.07209, 2022	16	2022
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	15	2018
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	12*	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	7*	2022
Testing Product Distributions: A Closer Look A Bhattacharyya, S Gayen, S Kandasamy, NV Vinodchandran Algorithmic Learning Theory, 367-396, 2021	5	2021
Perfect Zero Knowledge: New Upperbounds and Relativized Separations P Dixon, S Gayen, A Pavan, NV Vinodchandran Theory of Cryptography Conference, 684-704, 2020	4	2020
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	2	2022
New algorithms for distributed sliding windows S Gayen, NV Vinodchandran 16th Scandinavian Symposium and Workshops on Algorithm Theory (SWAT 2018), 2018	2	2018
Algorithms for k-median Clustering over Distributed Streams S Gayen, NV Vinodchandran Computing and Combinatorics: 22nd International Conference, COCOON 2016, Ho …, 2016	2	2016
Total Variation Distance Meets Probabilistic Inference A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ... Forty-first International Conference on Machine Learning, 2024	1	2024
Learnability of Parameter-Bounded Bayes Nets A Bhattacharyya, D Choo, S Gayen, D Myrisiotis arXiv preprint arXiv:2407.00927, 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
Distribution Learning Meets Graph Structure Sampling A Bhattacharyya, S Gayen, PG John, S Sen, NV Vinodchandran arXiv preprint arXiv:2405.07914, 2024		2024
Total Variation Distance for Product Distributions is# P-Complete A Bhattacharyya, S Gayen, KS Meel, D Myrisiotis, A Pavan, ... Available at SSRN 4890602, 0

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