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0111 · Apr 202419922001200920172026
1 result for “WSU-UX”
On the price of exact truthfulness in incentive-compatible online learning with bandit feedback: A regret lower bound for WSU-UXcs.LG

New algorithm reduces regret in strategic prediction problem.

problem Designing an IC algorithm with sublinear regret for strategic experts.
method Developed a new algorithm WSU-UX and proved a worst-case regret bound.
result WSU-UX suffers a Ω(T2/3)Ω(T^{2/3}) lower bound on regret.
regretincentive-compatibleWSU-UXstrategic predictionbandit feedback
2024-04-08abs ↗pdf ↗