Paper 'Cost Efficient Fairness Audit Under Partial Feedback' accepted at Regulatable ML Workshop and Reliable Workshop, NeurIPS 2025 (September 2025)
Paper 'Active Preference Optimization for Sample Efficient RLHF' accepted at ECML-PKDD 2025 (May 2025)
Recipient of the Reliance Postgraduate Fellowship by Reliance Foundations (March 2025)
Presentation on 'Generalized Linear Bandits with Limited Adaptivity' awarded 1st Runner Up at Adobe-IISc Research Workshop 2024 (November 2024)
Paper 'Generalized Linear Contextual Bandits with Limited Adaptivity' accepted as Spotlight at NeurIPS 2024 (September 2024)
Presented 'Linear Contextual Bandits with Hybrid Payoff: Revisited' at ECML-PKDD 2024 in Vilnius, Lithuania; travel supported by Microsoft Research Travel Grant and ECML-PKDD DEI Scholarship
Paper 'Active Preference Optimization for Sample Efficient RLHF' accepted at ICML 2024 Workshop on Theoretical Foundations of Foundation Models and TTIC Adaptive Learning in Complex Environments Workshop (June 2024)
Paper 'Linear Contextual Bandits with Hybrid Payoff: Revisited' accepted at ECML-PKDD 2024 (May 2024)
Paper 'Inverse Reinforcement Learning with Constraint Recovery' won Best Paper Award at PReMI 2023 (December 2023)