31 citations · 73 across the 17 of their papers we have counts for
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Meritocratic Fairness via -Shapley Values in Budgeted Combinatorial Bandits with Full-Bandit Feedback
Shradha Sharma, Shweta Jain, Swapnil Dhamal
We study meritocratic fairness in budgeted combinatorial multi-armed bandits with full-bandit feedback, where a learner selects at most arms per time step and observes only the…
Simultaneously Achieving Group Exposure Fairness and Within-Group Meritocracy in Stochastic Bandits
Subham Pokhriyal, Shweta Jain, Ganesh Ghalme +2
Existing approaches to fairness in stochastic multi-armed bandits (MAB) primarily focus on exposure guarantee to individual arms. When arms are naturally grouped by certain attribu…
Ballooning Multi-Armed Bandits
Ganesh Ghalme, Swapnil Dhamal, Shweta Jain +2
In this paper, we introduce Ballooning Multi-Armed Bandits (BL-MAB), a novel extension of the classical stochastic MAB model. In the BL-MAB model, the set of available arms grows (…