Debabrota Basu
Basu earned a Singapore computer-science PhD with Stéphane Bressan and Pierre Senellart, then pursued postdoctoral research at Chalmers before joining Inria’s Lille research team. Basu combines statistics, machine learning and optimization in his work. Applications include agro-ecology, medicine, efficient autonomous systems and algorithmic audits. Basu coauthored two NeurIPS 2025 studies on preference-based exploration for multi-objective bandits and the regret of differentially private bandits.
- Now at
- Centrale Lille Institut
- Works
- 131
- Citations
- 503
- h-index
- 12
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
-
As of October 2026
Training and research career
Basu earned a Singapore computer-science PhD with Stéphane Bressan and Pierre Senellart, then pursued postdoctoral research at Chalmers before joining Inria’s Lille research team.
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As of October 2026
Responsible learning methods
Basu combines statistics, machine learning and optimization. Applications include agro-ecology, medicine, efficient autonomous systems and algorithmic audits.
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2025
Private and multi-objective bandits
Basu coauthored two NeurIPS 2025 studies on preference-based exploration for multi-objective bandits and the regret of differentially private bandits.
Sources and credits
Photo: ellis.eu; Debabrota Basu profile photograph; creator not stated. License: Not stated by source. Source: ellis.eu. Cropped to a square and resized. Ask us to remove or replace this photo.