Fairness and Welfare Quantification for Regret in Multi-Armed Bandits. - Siddharth Barman; Arindam Khan 001; Arnab Maiti; Ayush Sawarni (AAAI, 2023)

Nash Regret Guarantees for Linear Bandits. - Ayush Sawarni; Soumyabrata Pal; Siddharth Barman (NeurIPS, 2023)

Learning good interventions in causal graphs via covering. - Ayush Sawarni; Rahul Madhavan; Gaurav Sinha 001; Siddharth Barman (UAI, 2023)

Nash Regret Guarantees for Linear Bandits. - Ayush Sawarni; Soumybrata Pal; Siddharth Barman (CoRR, 2023)

Generalized Linear Bandits with Limited Adaptivity. - Ayush Sawarni; Nirjhar Das; Siddharth Barman; Gaurav Sinha 001 (NeurIPS, 2024)

Optimal Regret with Limited Adaptivity for Generalized Linear Contextual Bandits. - Ayush Sawarni; Nirjhar Das; Siddharth Barman; Gaurav Sinha 001 (CoRR, 2024)

Preference Learning with Response Time. - Ayush Sawarni; Sahasrajit Sarmasarkar; Vasilis Syrgkanis (CoRR, 2025)