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stat.ML2026
Nash Social Welfare for Multi Armed Bandits: Trajectory-wise Expected and High Probability Regret
Avishek Ghosh
We study fair multi-armed bandits under the Nash Social Welfare (NSW) objective, which measures performance via the geometric mean of accumulated rewards. Existing work defines Nas…
stat.ML2026
Optimal Regret for Single Index Bandits
Devdan Dey, Sujoy Bhore, Avishek Ghosh
We study the problem, where rewards depend on an unknown one-dimensional projection of high-dimensional contexts through an unknown reward function.…