algorithm 6
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Context-lumpable stochastic bandits
Consider a recommendation platform that interacts with a finite set of users in an online fashion. Users arrive at the platform and receive a recommendation.
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Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness
Consequently, standard online convex optimization algorithms do not directly apply.
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a4628e9fbd3002a554923642f74d5d6b-Supplemental-Conference.pdf
We remark that the technical steps required in order to establish our result followtheanalysisof[SBB+16].
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