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Vishakha Patil
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2020 – today
- 2023
- [c5]Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan:
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. IJCAI 2023: 4100-4108 - 2022
- [c4]Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou:
Long-Term Resource Allocation Fairness in Average Markov Decision Process (AMDP) Environment. AAMAS 2022: 525-533 - [i5]Vishakha Patil, Vineet Nair, Ganesh Ghalme, Arindam Khan:
Mitigating Disparity while Maximizing Reward: Tight Anytime Guarantee for Improving Bandits. CoRR abs/2208.09254 (2022) - 2021
- [j1]Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari:
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. J. Mach. Learn. Res. 22: 174:1-174:31 (2021) - [c3]Vineet Nair, Vishakha Patil, Gaurav Sinha:
Budgeted and Non-Budgeted Causal Bandits. AISTATS 2021: 2017-2025 - [c2]Arnab Maiti, Vishakha Patil, Arindam Khan:
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization. NeurIPS 2021: 19553-19565 - [i4]Ganesh Ghalme, Vineet Nair, Vishakha Patil, Yilun Zhou:
State-Visitation Fairness in Average-Reward MDPs. CoRR abs/2102.07120 (2021) - 2020
- [c1]Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari:
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem. AAAI 2020: 5379-5386 - [i3]Arnab Maiti, Vishakha Patil, Arindam Khan:
Streaming Algorithms for Stochastic Multi-armed Bandits. CoRR abs/2012.05142 (2020) - [i2]Vineet Nair, Vishakha Patil, Gaurav Sinha:
Budgeted and Non-budgeted Causal Bandits. CoRR abs/2012.07058 (2020)
2010 – 2019
- 2019
- [i1]Vishakha Patil, Ganesh Ghalme, Vineet Nair, Y. Narahari:
Achieving Fairness in the Stochastic Multi-armed Bandit Problem. CoRR abs/1907.10516 (2019)
Coauthor Index
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