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Estimating Effects of Long-Term Treatments
We describe the identification assumptions, the estimation strategies, and the inference technique under this framework.
Blind Network Revenue Management and Bandits with Knapsacks under Limited Switches
Our work reveals a surprising result: the optimal regret rate is completely characterized by a piecewise-constant function of the switching budget, which further depends on the number of resource constraints -- to the best of our knowledge, this is the first time the number of resources constraints is shown to play a fundamental role in determining the statistical complexity of online learning problems.
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