Bayesian softmax-gated mixture-of-experts models achieve posterior contraction for density estimation and parameter recovery using Voronoi losses, plus two strategies for choosing the number of experts.
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A novel two-level Plackett-Luce model with Bayesian inference supports personalized route choice and preference modeling in smart mobility platforms.
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On Bayesian Softmax-Gated Mixture-of-Experts Models
Bayesian softmax-gated mixture-of-experts models achieve posterior contraction for density estimation and parameter recovery using Voronoi losses, plus two strategies for choosing the number of experts.
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A Two-Level Plackett-Luce Model for preference modeling in smart mobility platforms
A novel two-level Plackett-Luce model with Bayesian inference supports personalized route choice and preference modeling in smart mobility platforms.