Rahul Roy
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126
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ML×1Optimization and Control×1Probability×1Stats Apps×1Stats ML×1
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2026
Data-Driven Dynamic Assortment in Online Platforms: Learning about Two Sides
This paper studies a dynamic assortment problem on a two-sided service platform with incomplete information and heterogeneous customers, and develops a data-driven algorithm to learn parameters and optimize the platform's objective over time.
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