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Gaurav Sinha
Gaurav Sinha
Principal Researcher at Microsoft Research
Verifierad e-postadress på microsoft.com - Startsida
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Budgeted and Non-budgeted Causal Bandits
V Nair, V Patil, G Sinha
Proceedings of The 24th International Conference on Artificial Intelligence …, 2021
332021
Compressing source code written in a scripting language
B Livshits, BG Zorn, M Burtscher, G Sinha
US Patent App. 12/715,405, 2011
252011
Reconstruction of Real Depth-3 Circuits with Top Fan-In 2
G Sinha
Computational Complexity Conference - CCC'16, 2016
242016
A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders
A Maiti, V Nair, G Sinha
arXiv preprint arXiv:2107.02772, 2021
15*2021
{JSZap}: Compressing {JavaScript} Code
M Burtscher, G Sinha
USENIX Conference on Web Application Development (WebApps 10), 2010
142010
Efficient reconstruction of depth three arithmetic circuits with top fan-in two
G Sinha
13th Innovations in Theoretical Computer Science Conference (ITCS 2022), 2022
4*2022
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions
V Porwal, P Srivastava, G Sinha
Proceedings of The 25th International Conference on Artificial Intelligence …, 2022
32022
Disentangling Mixtures of Unknown Causal Interventions
A Kumar, G Sinha
The 37th Conference on Uncertainty in Artificial Intelligence (UAI), 2021, 2021
32021
Systems for predicting a terminal event
A Doda, G Sinha, KY Lau, AS Bedmutha, SK Saini, R Sinha, ...
US Patent 11,954,309, 2024
22024
Blackbox Reconstruction of Depth Three Circuits with Top Fan-In Two
G Sinha
California Institute of Technology, 2016
22016
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval
D Arora, A Kini, SR Chowdhury, N Natarajan, G Sinha, A Sharma
arXiv preprint arXiv:2310.20158, 2023
12023
Determining feature contributions to data metrics utilizing a causal dependency model
P Goel, N Poddar, G Sinha, A Chauhan, A Maiti
US Patent 11,797,515, 2023
12023
Learning Good Interventions in Causal Graphs via Covering
SB Ayush Sawarni, Rahul Madhavan, Gaurav Sinha
Uncertainty in Artificial Intelligence (UAI), 2023
1*2023
Generating visualizations of analytical causal graphs
F Du, X Xie, SK Saini, G Sinha, A Chauhan
US Patent 11,321,885, 2022
12022
Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks
A Agrawal, N Sheoran, S Suman, G Sinha
WWW ’22 Companion, 2022
12022
Intervention Efficient Algorithm for Two-Stage Causal MDPs
R Madhavan, A Maiti, G Sinha, S Barman
arXiv preprint arXiv:2111.00886, 2021
12021
Multiple point evaluation on combined tensor product supports
R Hiptmair, G Phillips, G Sinha
Numerical Algorithms 63, 317-337, 2013
12013
Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits
A Sawarni, N Das, G Sinha, S Barman
arXiv preprint arXiv:2404.06831, 2024
2024
Determining feature contributions to data metrics utilizing a causal dependency model
P Goel, N Poddar, G Sinha, A Chauhan, A Maiti
US Patent App. 18/492,551, 2024
2024
Experimentally validating causal graphs
V Porwal, G Sinha
US Patent App. 17/814,394, 2024
2024
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Artiklar 1–20