2020
COLT
COLT 2020
Open Problem: Model Selection for Contextual Bandits
Abstract
In statistical learning, algorithms for model selection allow the learner to adapt to the complexity of the best hypothesis class in a sequence. We ask whether similar guarantees are possible for contextual bandit learning.
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Interdisciplinary Bridge
- Artificial Intelligence and Mathematics & Optimization
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Hot Topic Early Bird
- model selection
Authors
Topics
Machine Learning > Optimization & Theory > Learning Theory
Machine Learning > Optimization & Theory > Statistical Learning
Mathematics & Optimization > Optimization > Online Algorithms
Machine Learning > Learning Types > Online Learning
Machine Learning > Learning Types > Multi-Armed Bandits
Machine Learning > Core Methods > Model Selection