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1 result for UCB-HARE

New algorithm reduces unfairness in bandit problems by balancing exploration and exploitation.

problem Fairness in bandit problems where early participants can be unfairly disadvantaged.
method Introduces extsf{UCB-HARE} algorithm that balances exploration and exploitation using inverse-weighted harmonic rank schedule.
result Algorithm extsf{UCB-HARE} achieves regret matching the lower bound Ω(σkmax(1,q)/T)Ω(σ\sqrt{k^{\max(1,q)}/T}) for q>1q>1.