Proves Poisson-Dirichlet edge statistics for full Gibbs ensembles on random lattices and quenched thermal concentration with visibility curve c=γ^{-2} for primitive directions.
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UNVERDICTED 3representative citing papers
vsOED uses a variational one-point reward and RL policy optimization to provide a lower bound on expected information gain for sequential experimental design, supporting nuisance parameters, implicit likelihoods, and multiple design goals.
Compositional periodic splines in Bayes spaces enable approximation of circular density data via centered log-ratio transformation and matrix-based penalized estimation, shown on wind direction records.
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Variational Sequential Optimal Experimental Design using Reinforcement Learning
vsOED uses a variational one-point reward and RL policy optimization to provide a lower bound on expected information gain for sequential experimental design, supporting nuisance parameters, implicit likelihoods, and multiple design goals.