Sinha, Gaurav

13 publications

UAI 2025 Efficient Algorithms for Logistic Contextual Slate Bandits with Bandit Feedback Tanmay Goyal, Gaurav Sinha

ICLRW 2025 Plan$^\ast$RAG: Efficient Test-Time Planning for Retrieval Augmented Generation Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma

NeurIPS 2024 Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha

ICMLW 2024 Generalized Linear Bandits with Limited Adaptivity Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha

ECML-PKDD 2024 Linear Contextual Bandits with Hybrid Payoff: Revisited Nirjhar Das, Gaurav Sinha

ICMLW 2024 Scaling the Vocabulary of Non-Autoregressive Models for Efficient Generative Retrieval Ravisri Valluri, Akash Kumar Mohankumar, Kushal S. Dave, Amit S, Jian Jiao, Manik Varma, Gaurav Sinha

UAI 2023 Combinatorial Categorized Bandits with Expert Rankings Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma

ICLRW 2023 Feature-Interpretable Real Concept Drift Detection Pranoy Panda, Vineeth N. Balasubramanian, Gaurav Sinha

UAI 2023 Learning Good Interventions in Causal Graphs via Covering Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman

AISTATS 2022 Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions Vibhor Porwal, Piyush Srivastava, Gaurav Sinha

UAI 2022 A Causal Bandit Approach to Learning Good Atomic Interventions in Presence of Unobserved Confounders Aurghya Maiti, Vineet Nair, Gaurav Sinha

AISTATS 2021 Budgeted and Non-Budgeted Causal Bandits Vineet Nair, Vishakha Patil, Gaurav Sinha

UAI 2021 Disentangling Mixtures of Unknown Causal Interventions Abhinav Kumar, Gaurav Sinha