Streaming Algorithms for Stochastic Multi-armed Bandits. - Arnab Maiti; Vishakha Patil; Arindam Khan 001 (CoRR, 2020)

Budgeted and Non-Budgeted Causal Bandits. - Vineet Nair; Vishakha Patil; Gaurav Sinha 001 (AISTATS, 2021)

Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization. - Arnab Maiti; Vishakha Patil; Arindam Khan 001 (NeurIPS, 2021)

State-Visitation Fairness in Average-Reward MDPs. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (CoRR, 2021)

Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. - Vishakha Patil; Ganesh Ghalme; Vineet Nair; Y. Narahari (J. Mach. Learn. Res., 2021)

Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. - Ganesh Ghalme; Vineet Nair; Vishakha Patil; Yilun Zhou (AAMAS, 2022)

Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. - Vishakha Patil; Vineet Nair; Ganesh Ghalme; Arindam Khan 001 (IJCAI, 2023)