publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program
    Arpan Dasgupta, Gagan Jain, Arun Suggala, Karthikeyan Shanmugam, Milind Tambe, and Aparna Taneja
    AAMAS 2025 (Yet to appear), 2025

2024

  1. Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs
    Arpan Dasgupta, Niclas Boehmer, Neha Madhiwalla, Aparna Hedge, Bryan Wilder, Milind Tambe, and Aparna Taneja
    AASG, Autonomous Agents and Multi-Agent Systems at AAMAS, 2024

2023

  1. Explaining RL Decisions with Trajectories
    Shripad Vilasrao Deshmukh, Arpan Dasgupta, Balaji Krishnamurthy, Nan Jiang, Chirag Agarwal, Georgios Theocharous, and Jayakumar Subramanian
    In The Eleventh International Conference on Learning Representations (ICLR), 2023
  2. Review of Extreme Multilabel Classification
    Arpan Dasgupta, Siddhant Katyan, Shrutimoy Das, and Pawan Kumar
    arXiv preprint arXiv:2302.05971, 2023
  3. Light-weight deep extreme multilabel classification
    Arpan Dasgupta, Istasis Mishra, Pratik Jawanpuria, Bamdev Mishra, and Pawan Kumar
    In 2023 International Joint Conference on Neural Networks (IJCNN) [Best Poster Award], 2023
  4. Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition
    Arpan Dasgupta, and Pawan Kumar
    In Joint European Conference on Machine Learning and Knowledge Discovery in Databases, 2023

2022

  1. Trajectory-based Explainability Framework for Offline RL
    Shripad Vilasrao Deshmukh, Arpan Dasgupta, Chirag Agarwal, Nan Jiang, Balaji Krishnamurthy, Georgios Theocharous, and Jayakumar Subramanian
    In 3rd Offline RL Workshop: Offline RL as a”Launchpad’, NeurIPS’, 2022