Gaurav Sinha

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 32

Top Topics

Causal Bayesian Networks

Top Venues

Publications

Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha
Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits. CoRR (2024)
Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman
Causal Contextual Bandits with Adaptive Context. CoRR (2024)
Ravisri Valluri, Akash Kumar Mohankumar, Kushal Dave, Amit Singh, Jian Jiao, Manik Varma, Gaurav Sinha
Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval. CoRR (2024)
Nirjhar Das, Gaurav Sinha
Linear Contextual Bandits with Hybrid Payoff: Revisited. CoRR (2024)
Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha
Interpretable Model Drift Detection. COMAD/CODS (2024)
Neham Jain, Vibhhu Sharma, Gaurav Sinha
Counterfactual Explanations for Visual Recommender Systems. WWW (Companion Volume) (2024)
Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman
Learning Good Interventions in Causal Graphs via Covering. CoRR (2023)
Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma
Combinatorial categorized bandits with expert rankings. UAI (2023)
Daman Arora, Anush Kini, Sayak Ray Chowdhury, Nagarajan Natarajan, Gaurav Sinha, Amit Sharma
GAR-meets-RAG Paradigm for Zero-Shot Information Retrieval. CoRR (2023)
Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman
Learning good interventions in causal graphs via covering. UAI (2023)
Aurghya Maiti, Vineet Nair, Gaurav Sinha
A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. UAI (2022)
Aniket Agrawal, Nikhil Sheoran, Sourav Suman, Gaurav Sinha
Multi-touch Attribution for Complex B2B Customer Journeys using Temporal Convolutional Networks. WWW (Companion Volume) (2022)
Gaurav Sinha
Efficient Reconstruction of Depth Three Arithmetic Circuits with Top Fan-In Two. ITCS (2022)
Vibhor Porwal, Piyush Srivastava, Gaurav Sinha
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. AISTATS (2022)
Abhinav Kumar, Gaurav Sinha
Disentangling Mixtures of Unknown Causal Interventions. CoRR (2022)
Vineet Nair, Vishakha Patil, Gaurav Sinha
Budgeted and Non-Budgeted Causal Bandits. AISTATS (2021)
Aurghya Maiti, Vineet Nair, Gaurav Sinha
Causal Bandits on General Graphs. CoRR (2021)
Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman
Intervention Efficient Algorithm for Two-Stage Causal MDPs. CoRR (2021)
Vibhor Porwal, Piyush Srivastava, Gaurav Sinha
Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. CoRR (2021)
Abhinav Kumar, Gaurav Sinha
Disentangling mixtures of unknown causal interventions. UAI (2021)
Gaurav Sinha
Efficient reconstruction of depth three circuits with top fan-in two. CoRR (2021)
Madhan Raj Kanagarathinam, Sukhdeep Singh, Sujith Rengan Jayaseelan, Mukesh Kumar Maheshwari, Gunjan Kumar Choudhary, Gaurav Sinha
QSOCKS: 0-RTT Proxification Design of SOCKS Protocol for QUIC. IEEE Access 8 (2020)
Gaurav Sinha, Madhan Raj Kanagarathinam, Sujith Rengan Jayaseelan, Gunjan Kumar Choudhary
CQUIC: Cross-Layer QUIC for Next Generation Mobile Networks. WCNC (2020)
Gaurav Sinha
Efficient reconstruction of depth three circuits with top fan-in two. Electron. Colloquium Comput. Complex. 27 (2020)
Samantha T. Arundel, Gaurav Sinha
Automated location correction and spot height generation for named summits in the coterminous United States. Int. J. Digit. Earth 13 (12) (2020)
Gunjan Kumar Choudhary, Madhan Raj Kanagarathinam, Harikrishnan Natarajan, Karthikeyan Arunachalam, Sujith Regan Jayaseelan, Gaurav Sinha, Debabrata Das
Novel MultiPipe QUIC Protocols to Enhance the Wireless Network Performance. WCNC (2020)
Vineet Nair, Vishakha Patil, Gaurav Sinha
Budgeted and Non-budgeted Causal Bandits. CoRR (2020)
Gaurav Sinha, Ayush Chauhan, Aurghya Maiti, Naman Poddar, Pulkit Goel
Dis-entangling Mixture of Interventions on a Causal Bayesian Network Using Aggregate Observations. CoRR (2019)
Gaurav Sinha, Samantha T. Arundel, Torsten Hahmann, E. Lynn Usery, Kathleen Stewart, David M. Mark
The Landform Reference Ontology (LFRO): A Foundation for Exploring Linguistic and Geospatial Conceptualization of Landforms (Short Paper). GIScience (2018)
Samantha T. Arundel, Gaurav Sinha
Validating GEOBIA Based Terrain Segmentation and Classification for Automated Delineation of Cognitively Salient Landforms. COSIT (Workshops/Posters) (2017)
Gaurav Sinha, Samantha T. Arundel, Kathleen Stewart, David M. Mark, Torsten Hahmann, Boleslo E. Romero, Alexandre Sorokine, E. Lynn Usery, Grant McKenzie
A Reference Landform Ontology for Automated Delineation of Depression Landforms from DEMs. COSIT (Workshops/Posters) (2017)
Gaurav Sinha
Reconstruction of Real Depth-3 Circuits with Top Fan-In 2. Computational Complexity Conference (2016)
Gaurav Sinha
Reconstruction of Real depth-3 Circuits with top fan-in 2. CoRR (2015)
Gaurav Sinha
Reconstruction of ΣΠΣ(2) Circuits over Reals. Electron. Colloquium Comput. Complex. 22 (2015)
Gaurav Sinha, David M. Mark, Dave Kolas, Dalia Varanka, Boleslo E. Romero, Chen-Chieh Feng, E. Lynn Usery, Joshua Liebermann, Alexandre Sorokine
An Ontology Design Pattern for Surface Water Features. GIScience (2014)
Gaurav Sinha, Warit Silavisesrith
Multicriteria generalization (MCG): a decision-making framework for formalizing multiscale environmental data reduction. Int. J. Geogr. Inf. Sci. 26 (5) (2012)
Ian R. Lane, Vinay Prasad, Gaurav Sinha, Arlette Umuhoza, Shangyu Luo, Akshay Chandrashekaran, Antoine Raux
HRItk: The Human-Robot Interaction ToolKit Rapid Development of Speech-Centric Interactive Systems in ROS. SDCTD@NAACL-HLT (2012)
Martin Burtscher, Gaurav Sinha
JSZap: Compressing JavaScript Code. WebApps (2010)
Gaurav Sinha, David M. Mark
Cognition-Based Extraction and Modelling of Topographic Eminences. Cartogr. Int. J. Geogr. Inf. Geovisualization 45 (2) (2010)
Gaurav Sinha, Rahul Shahi, Mani Shankar
Human Computer Interaction. ICETET (2010)
Yet-Chung Chang, Gaurav Sinha
A visual basic program for ridge axis picking on DEM data using the profile-recognition and polygon-breaking algorithm. Comput. Geosci. 33 (2) (2007)
Gaurav Sinha, David M. Mark
Measuring similarity between geospatial lifelines in studies of environmental health. J. Geogr. Syst. 7 (1) (2005)
Adit D. Singh, David R. Lakin II, Gaurav Sinha, Phil Nigh
Binning for IC Quality: Experimental Studies on the SEMATECH Data. DFT (1998)