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Sayantan Sen
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2020 – today
- 2024
- [c6]Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen:
Testing Self-Reducible Samplers. AAAI 2024: 7952-7960 - [i14]Arnab Bhattacharyya, Sutanu Gayen, Philips George John, Sayantan Sen, N. V. Vinodchandran:
Distribution Learning Meets Graph Structure Sampling. CoRR abs/2405.07914 (2024) - [i13]Arijit Bishnu, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Near Uniform Triangle Sampling Over Adjacency List Graph Streams. CoRR abs/2405.10167 (2024) - [i12]Simon Apers, Frédéric Magniez, Sayantan Sen, Dániel Szabó:
Quantum property testing in sparse directed graphs. CoRR abs/2410.05001 (2024) - [i11]Sutanu Gayen, Sanket Kale, Sayantan Sen:
Efficient Sample-optimal Learning of Gaussian Tree Models via Sample-optimal Testing of Gaussian Mutual Information. CoRR abs/2411.11516 (2024) - [i10]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Amit Levi, Gopinath Mishra, Sayantan Sen:
Testing vs Estimation for Index-Invariant Properties in the Huge Object Model. CoRR abs/2412.02235 (2024) - [i9]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Amit Levi, Gopinath Mishra, Sayantan Sen:
Testing vs Estimation for Index-Invariant Properties in the Huge Object Model. Electron. Colloquium Comput. Complex. TR24 (2024) - [i8]Clément L. Canonne, Sayantan Sen, Joy Qiping Yang:
Settling the complexity of testing grainedness of distributions, and application to uniformity testing in the Huge Object model. Electron. Colloquium Comput. Complex. TR24 (2024) - 2023
- [j1]Simon Apers, Sander Gribling, Sayantan Sen, Dániel Szabó:
A (simple) classical algorithm for estimating Betti numbers. Quantum 7: 1202 (2023) - [c5]Ansuman Banerjee, Shayak Chakraborty, Sourav Chakraborty, Kuldeep S. Meel, Uddalok Sarkar, Sayantan Sen:
Testing of Horn Samplers. AISTATS 2023: 1301-1330 - [c4]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Testing of Index-Invariant Properties in the Huge Object Model. COLT 2023: 3065-3136 - [i7]Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen:
Testing Self-Reducible Samplers. CoRR abs/2312.10999 (2023) - 2022
- [c3]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Exploring the Gap Between Tolerant and Non-Tolerant Distribution Testing. APPROX/RANDOM 2022: 27:1-27:23 - [c2]Arijit Ghosh, Gopinath Mishra, Rahul Raychaudhury, Sayantan Sen:
Tolerant Bipartiteness Testing in Dense Graphs. ICALP 2022: 69:1-69:19 - [i6]Arijit Ghosh, Gopinath Mishra, Rahul Raychaudhury, Sayantan Sen:
Tolerant Bipartiteness Testing in Dense Graphs. CoRR abs/2204.12397 (2022) - [i5]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Testing of Index-Invariant Properties in the Huge Object Model. CoRR abs/2207.12514 (2022) - [i4]Simon Apers, Sayantan Sen, Dániel Szabó:
A (simple) classical algorithm for estimating Betti numbers. CoRR abs/2211.09618 (2022) - [i3]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Testing of Index-Invariant Properties in the Huge Object Model. Electron. Colloquium Comput. Complex. TR22 (2022) - 2021
- [c1]Sourav Chakraborty, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Interplay Between Graph Isomorphism and Earth Mover's Distance in the Query and Communication Worlds. APPROX-RANDOM 2021: 34:1-34:23 - [i2]Sourav Chakraborty, Eldar Fischer, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Exploring the Gap between Tolerant and Non-tolerant Distribution Testing. CoRR abs/2110.09972 (2021) - 2020
- [i1]Sourav Chakraborty, Arijit Ghosh, Gopinath Mishra, Sayantan Sen:
Estimation of Graph Isomorphism Distance in the Query World. Electron. Colloquium Comput. Complex. TR20 (2020)
Coauthor Index
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