Arpan Dasgupta

According to our database1, Arpan Dasgupta authored at least 17 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Decisions and Deployment: The Five-Year SAHELI Project (2020-2025) on Restless Multi-Armed Bandits for Improving Maternal and Child Health.
CoRR, April, 2026

2025
Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health.
CoRR, July, 2025


Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Optimizing Call Timing in Mobile Maternal Health.
Proceedings of the Machine Learning for Healthcare Conference (MLHC 2025), 2025

Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health.
Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

Beyond Listenership: AI-Predicted Interventions Drive Improvements in Maternal Health Behaviours.
Proceedings of the ECAI 2025 - 28th European Conference on Artificial Intelligence, 25-30 October 2025, Bologna, Italy, 2025

2024
Bayesian Collaborative Bandits with Thompson Sampling for Improved Outreach in Maternal Health Program.
CoRR, 2024

Preliminary Study of the Impact of AI-Based Interventions on Health and Behavioral Outcomes in Maternal Health Programs.
CoRR, 2024

Low-loss and broadband adiabatic polarization splitter rotator on a CMOS-integrated silicon photonics platform.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024



Mitigating substrate leakage loss on a monolithic SiPh platform: experimental demonstration of hybrid Si-SiN waveguides for O-band datacom.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

2023
Review of Extreme Multilabel Classification.
CoRR, 2023

Alpha Elimination: Using Deep Reinforcement Learning to Reduce Fill-In During Sparse Matrix Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023


Light-weight Deep Extreme Multilabel Classification.
Proceedings of the International Joint Conference on Neural Networks, 2023

Explaining RL Decisions with Trajectories.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


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