Gaurav Sinha

According to our database, Gaurav Sinha authored at least 21 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Linear Contextual Bandits with Hybrid Payoff: Revisited.

Nirjhar Das, Gaurav Sinha

CoRR, 2024

Causal Contextual Bandits with Adaptive Context.

Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman

CoRR, 2024

Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits.

Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha

CoRR, 2024

Counterfactual Explanations for Visual Recommender Systems.

Neham Jain, Vibhhu Sharma, Gaurav Sinha

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Interpretable Model Drift Detection.

Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha

Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD), 2024

2023

GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval.

Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma

CoRR, 2023

Learning good interventions in causal graphs via covering.

Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Combinatorial categorized bandits with expert rankings.

Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks.

Aniket Agrawal, Nikhil Sheoran, Sourav Suman, Gaurav Sinha

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

A causal bandit approach to learning good atomic interventions in presence of unobserved confounders.

Aurghya Maiti, Vineet Nair, Gaurav Sinha

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Efficient Reconstruction of Depth Three Arithmetic Circuits with Top Fan-In Two.

Gaurav Sinha

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions.

Vibhor Porwal, Piyush Srivastava, Gaurav Sinha

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Intervention Efficient Algorithm for Two-Stage Causal MDPs.

Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman

CoRR, 2021

Causal Bandits on General Graphs.

Aurghya Maiti, Vineet Nair, Gaurav Sinha

CoRR, 2021

Disentangling mixtures of unknown causal interventions.

Abhinav Kumar, Gaurav Sinha

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Budgeted and Non-Budgeted Causal Bandits.

Vineet Nair, Vishakha Patil, Gaurav Sinha

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Efficient reconstruction of depth three circuits with top fan-in two.

Gaurav Sinha

Electron. Colloquium Comput. Complex., 2020

2019

Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations.

Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel

CoRR, 2019

2016

Reconstruction of Real Depth-3 Circuits with Top Fan-In 2.

Gaurav Sinha

Proceedings of the 31st Conference on Computational Complexity, 2016

2015

Reconstruction of ΣΠΣ(2) Circuits over Reals.

Gaurav Sinha

Electron. Colloquium Comput. Complex., 2015

2010

JSZap: Compressing JavaScript Code.

Martin Burtscher, Gaurav Sinha

Proceedings of the USENIX Conference on Web Application Development, 2010