Juliacon 2024

ExponentialFamilyManifolds.jl efficiently tackles non-conjugate inference in probabilistic models by projecting distributions onto exponential families using Kullback-Leibler divergence optimization. Integrating with Manifolds.jl, Manopt.jl, and RxInfer.jl, it enhances scalability and inference efficiency, especially in models with conjugate and non-conjugate elements. This makes inference with exponential family priors both efficient and flexible.