Sutanu Gayen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
11
Venues
9
Active years
2016–2025
Best venue rank
A*
Where they publish
Papers
11 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AAAI | Learnability of Parameter-Bounded Bayes Nets. | Arnab Bhattacharyya, Davin Choo, Sutanu Gayen, Dimitrios Myrisiotis |
| 2025 | ICLR | Computational Explorations of Total Variation Distance. | Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, Aduri Pavan, N. V. Vinodchandran |
| 2024 | ICML | Total Variation Distance Meets Probabilistic Inference. | Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran |
| 2023 | IJCAI | On Approximating Total Variation Distance. | Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel, Dimitrios Myrisiotis, A. Pavan, N. V. Vinodchandran |
| 2022 | AISTATS | Learning Sparse Fixed-Structure Gaussian Bayesian Networks. | Arnab Bhattacharyya, Davin Choo, Rishikesh Gajjala, Sutanu Gayen, Yuhao Wang |
| 2022 | AISTATS | Efficient interventional distribution learning in the PAC framework. | Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Vedant Raval, N. Variyam Vinodchandran |
| 2021 | ALT | Testing Product Distributions: A Closer Look. | Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, N. V. Vinodchandran |
| 2021 | STOC | Near-optimal learning of tree-structured distributions by Chow-Liu. | Arnab Bhattacharyya, Sutanu Gayen, Eric Price, N. V. Vinodchandran |
| 2020 | ICML | Learning and Sampling of Atomic Interventions from Observations. | Arnab Bhattacharyya, Sutanu Gayen, Saravanan Kandasamy, Ashwin Maran, N. Variyam Vinodchandran |
| 2020 | TCC | Perfect Zero Knowledge: New Upperbounds and Relativized Separations. | Peter Dixon, Sutanu Gayen, Aduri Pavan, N. V. Vinodchandran |
| 2016 | COCOON | Algorithms for k-median Clustering over Distributed Streams. | Sutanu Gayen, N. V. Vinodchandran |