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ORCIDGaurav Sinha 0001
Person information
- affiliation: Microsoft Research India
- affiliation (former): Adobe Research, Bangalore, India
Other persons with the same name
- Gaurav Sinha — disambiguation page
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2020 – today
- 2024
[c13]Pranoy Panda
, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha:
Interpretable Model Drift Detection. COMAD/CODS 2024: 1-9- [c12]Nirjhar Das, Gaurav Sinha:
Linear Contextual Bandits with Hybrid Payoff: Revisited. ECML/PKDD (6) 2024: 441-455 - [c11]Neham Jain, Vibhhu Sharma, Gaurav Sinha:
Counterfactual Explanations for Visual Recommender Systems. WWW (Companion Volume) 2024: 674-677 - [i15]Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha:
Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits. CoRR abs/2404.06831 (2024) - [i14]Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
Causal Contextual Bandits with Adaptive Context. CoRR abs/2405.18626 (2024) - [i13]Nirjhar Das, Gaurav Sinha:
Linear Contextual Bandits with Hybrid Payoff: Revisited. CoRR abs/2406.10131 (2024) - 2023
- [c10]Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma:
Combinatorial categorized bandits with expert rankings. UAI 2023: 403-412 - [c9]Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman:
Learning good interventions in causal graphs via covering. UAI 2023: 1827-1836 - [i12]Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman:
Learning Good Interventions in Causal Graphs via Covering. CoRR abs/2305.04638 (2023) - [i11]Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma:
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR abs/2310.20158 (2023) - 2022
- [c8]Vibhor Porwal, Piyush Srivastava, Gaurav Sinha:
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. AISTATS 2022: 5583-5603 - [c7]Gaurav Sinha:
Efficient Reconstruction of Depth Three Arithmetic Circuits with Top Fan-In Two. ITCS 2022: 118:1-118:33 - [c6]Aurghya Maiti, Vineet Nair, Gaurav Sinha:
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. UAI 2022: 1328-1338 - [c5]Aniket Agrawal, Nikhil Sheoran, Sourav Suman, Gaurav Sinha:
Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks. WWW (Companion Volume) 2022: 910-917 - [i10]Abhinav Kumar, Gaurav Sinha:
Disentangling Mixtures of Unknown Causal Interventions. CoRR abs/2210.03242 (2022) - 2021
- [c4]Vineet Nair, Vishakha Patil, Gaurav Sinha:
Budgeted and Non-Budgeted Causal Bandits. AISTATS 2021: 2017-2025 - [c3]Abhinav Kumar, Gaurav Sinha:
Disentangling mixtures of unknown causal interventions. UAI 2021: 2093-2102 - [i9]Gaurav Sinha:
Efficient reconstruction of depth three circuits with top fan-in two. CoRR abs/2103.07445 (2021) - [i8]Aurghya Maiti, Vineet Nair, Gaurav Sinha:
Causal Bandits on General Graphs. CoRR abs/2107.02772 (2021) - [i7]Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
Intervention Efficient Algorithm for Two-Stage Causal MDPs. CoRR abs/2111.00886 (2021) - [i6]Vibhor Porwal, Piyush Srivastava, Gaurav Sinha:
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. CoRR abs/2111.05070 (2021) - 2020
- [i5]Vineet Nair, Vishakha Patil, Gaurav Sinha:
Budgeted and Non-budgeted Causal Bandits. CoRR abs/2012.07058 (2020) - [i4]Gaurav Sinha:
Efficient reconstruction of depth three circuits with top fan-in two. Electron. Colloquium Comput. Complex. TR20 (2020)
2010 – 2019
- 2019
- [i3]Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel:
Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. CoRR abs/1912.00163 (2019) - 2016
- [c2]Gaurav Sinha:
Reconstruction of Real Depth-3 Circuits with Top Fan-In 2. CCC 2016: 31:1-31:53 - 2015
- [i2]Gaurav Sinha:
Reconstruction of Real depth-3 Circuits with top fan-in 2. CoRR abs/1512.01256 (2015) - [i1]Gaurav Sinha:
Reconstruction of ΣΠΣ(2) Circuits over Reals. Electron. Colloquium Comput. Complex. TR15 (2015) - 2010
- [c1]Martin Burtscher, Gaurav Sinha:
JSZap: Compressing JavaScript Code. WebApps 2010
Coauthor Index
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