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Prediction Sets for High-Dimensional Mixture of Experts Models
Large datasets make it possible to build predictive models that can capture heterogenous relationships between the response variable and features.
Controlling the False Split Rate in Tree-Based Aggregation
In many domains, data measurements can naturally be associated with the leaves of a tree, expressing the relationships among these measurements.
Multi-Product Dynamic Pricing in High-Dimensions with Heterogeneous Price Sensitivity
We measure the performance of a pricing policy in terms of regret, which is the expected revenue loss with respect to a clairvoyant policy that knows the parameters of the choice model in advance and always sets the revenue-maximizing prices.
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