CAB maximizes arm satisfaction in contextual combinatorial matching under GLM feedback, with UCB/TS algorithms whose regret matches combinatorial contextual lower bounds up to logs.
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Combinatorial Allocation Bandits with Nonlinear Arm Utility
CAB maximizes arm satisfaction in contextual combinatorial matching under GLM feedback, with UCB/TS algorithms whose regret matches combinatorial contextual lower bounds up to logs.