• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 69 matches

• 2024
• 
  Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
  Causal Contextual Bandits with Adaptive Context. RLJ 5: 2233-2263 (2024)
• 
  Pranoy Panda, Sai Srinivas Kancheti, Vineeth N. Balasubramanian, Gaurav Sinha:
  Interpretable Model Drift Detection. COMAD/CODS 2024: 1-9
• 
  Akash Ghosh, Arkadeep Acharya, Sriparna Saha, Gaurav Pandey, Dinesh Raghu, Setu Sinha:
  HealthAlignSumm : Utilizing Alignment for Multimodal Summarization of Code-Mixed Healthcare Dialogues. EMNLP (Findings) 2024: 11546-11560
• 
  Nirjhar Das, Gaurav Sinha:
  Linear Contextual Bandits with Hybrid Payoff: Revisited. ECML/PKDD (6) 2024: 441-455
• 
  Neham Jain, Vibhhu Sharma, Gaurav Sinha:
  Counterfactual Explanations for Visual Recommender Systems. WWW (Companion Volume) 2024: 674-677
• 
  Ayush Sawarni, Nirjhar Das, Siddharth Barman, Gaurav Sinha:
  Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits. CoRR abs/2404.06831 (2024)
• 
  Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
  Causal Contextual Bandits with Adaptive Context. CoRR abs/2405.18626 (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 abs/2406.06739 (2024)
• 
  Nirjhar Das, Gaurav Sinha:
  Linear Contextual Bandits with Hybrid Payoff: Revisited. CoRR abs/2406.10131 (2024)
• 
  Prakhar Verma, Sukruta Prakash Midigeshi, Gaurav Sinha, Arno Solin, Nagarajan Natarajan, Amit Sharma:
  Plan⨉RAG: Planning-guided Retrieval Augmented Generation. CoRR abs/2410.20753 (2024)
• 2023
• 
  Abhisek Omkar Prasad, Pradumn Mishra, Urja Jain, Anish Pandey, Anushka Sinha, Anil Singh Yadav, Rajan Kumar, Abhishek Sharma, Gaurav Kumar, Karrar hazim Salem, Avdhesh Sharma, Anil Kumar Dixit:
  Design and development of software stack of an autonomous vehicle using robot operating system. Robotics Auton. Syst. 161: 104340 (2023)
• 
  Sayak Ray Chowdhury, Gaurav Sinha, Nagarajan Natarajan, Amit Sharma:
  Combinatorial categorized bandits with expert rankings. UAI 2023: 403-412
• 
  Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman:
  Learning good interventions in causal graphs via covering. UAI 2023: 1827-1836
• 
  Ayush Sawarni, Rahul Madhavan, Gaurav Sinha, Siddharth Barman:
  Learning Good Interventions in Causal Graphs via Covering. CoRR abs/2305.04638 (2023)
• 
  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
• 
  Gaurav Duggal, Tejas Gaikwad, Bhupendra Sinha:
  Dependable modulation classifier explainer with measurable explainability. Frontiers Big Data 5 (2022)
• 
  Vibhor Porwal, Piyush Srivastava, Gaurav Sinha:
  Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. AISTATS 2022: 5583-5603
• 
  Gaurav Sinha:
  Efficient Reconstruction of Depth Three Arithmetic Circuits with Top Fan-In Two. ITCS 2022: 118:1-118:33
• 
  Aurghya Maiti, Vineet Nair, Gaurav Sinha:
  A causal bandit approach to learning good atomic interventions in presence of unobserved confounders. UAI 2022: 1328-1338
• 
  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
• 
  Abhinav Kumar, Gaurav Sinha:
  Disentangling Mixtures of Unknown Causal Interventions. CoRR abs/2210.03242 (2022)
• 2021
• 
  Vineet Nair, Vishakha Patil, Gaurav Sinha:
  Budgeted and Non-Budgeted Causal Bandits. AISTATS 2021: 2017-2025
• 
  Rahul Sinha, Vikas Sihag, Gaurav Choudhary, Manu Vardhan, Pradeep Singh:
  Forensic Analysis of Fitness Applications on Android. MobiSec 2021: 222-235
• 
  Abhinav Kumar, Gaurav Sinha:
  Disentangling mixtures of unknown causal interventions. UAI 2021: 2093-2102
• 
  Gaurav Sinha:
  Efficient reconstruction of depth three circuits with top fan-in two. CoRR abs/2103.07445 (2021)
• 
  Aurghya Maiti, Vineet Nair, Gaurav Sinha:
  Causal Bandits on General Graphs. CoRR abs/2107.02772 (2021)
• 
  Rahul Madhavan, Aurghya Maiti, Gaurav Sinha, Siddharth Barman:
  Intervention Efficient Algorithm for Two-Stage Causal MDPs. CoRR abs/2111.00886 (2021)
• 
  Vibhor Porwal, Piyush Srivastava, Gaurav Sinha:
  Almost Optimal Universal Lower Bound for Learning Causal DAGs with Atomic Interventions. CoRR abs/2111.05070 (2021)
• 
  Ameya Daigavane, Gagan Madan, Aditya Sinha, Abhradeep Guha Thakurta, Gaurav Aggarwal, Prateek Jain:
  Node-Level Differentially Private Graph Neural Networks. CoRR abs/2111.15521 (2021)
• 2020
• 
  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: 145862-145870 (2020)

skipping 39 more matches