Understanding Kernel Based Methods For Bandit Convex Optimization
Let's dive into the details surrounding Kernel Based Methods For Bandit Convex Optimization. Sebastien Bubeck, Microsoft Research https://simons.berkeley.edu/talks/sebastien-bubeck-09-21-2016
Key Takeaways about Kernel Based Methods For Bandit Convex Optimization
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- SVM can only produce linear boundaries between classes by default, which not enough for most machine learning applications.
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- Many problems require decision making entailing an exploration-exploitation trade off over a large (and possibly infinite) action ...
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Detailed Analysis of Kernel Based Methods For Bandit Convex Optimization
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