Bayesian inference for Plackett-Luce ranking models

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Offline A/B Testing for Recommender Systems (2018, methodology): “Good examples of distributions are the BradleyTerry Luce (BTL) model [3], the Placket-Luce model [4, 7, 20] or more generally Thurstonian models [26, 28].”
Calibrated Fairness in Bandits (2017, positive): “To be concrete, we adopt the Placke-Luce (PL) model [1, 8], where every arm i is parameterized by a quality parameter, νi ∈ R+, such that”
Fast and Accurate Inference of Plackett-Luce Models (2015, background): “Caron and Doucet [21] present a Gibbs sampler, and Guiver and Snelson [22] propose an approximate inference algorithm based on expectation propagation.”
Minimax-optimal Inference from Partial Rankings (2014, methodology): “Instead, an efficient message-passing algorithm is proposed in [16] to approximate the MAP estimate.”
Matrix estimation by Universal Singular Value Thresholding (2012, background): “More recently, several authors have proposed to perform Bayesian inference for (generalized) Bradley–Terry models [2, 48, 49, 50, 52, 28].”