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cs.LG2025
Co-Exploration and Co-Exploitation via Shared Structure in Multi-Task Bandits
Sumantrak Mukherjee, Serafima Lebedeva, Valentin Margraf +6
We propose a novel Bayesian framework for efficient exploration in contextual multi-task multi-armed bandit settings, where the context is only observed partially and dependencies…
cs.LG2022★ 1 cited
HARRIS: Hybrid Ranking and Regression Forests for Algorithm Selection
Lukas Fehring, Jonas Hanselle, Alexander Tornede
It is well known that different algorithms perform differently well on an instance of an algorithmic problem, motivating algorithm selection (AS): Given an instance of an algorithm…