model evidence

Hierarchical Bayesian Quadrature UAI 2026 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Adaptive Cholesky Gaussian Processes AISTATS 2023 Bounding Evidence and Estimating Log-Likelihood in VAE AISTATS 2023 Adapting the Linearised Laplace Model Evidence for Modern Deep Learning ICML 2022 Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination NeurIPS 2022 Efficient debiased evidence estimation by multilevel Monte Carlo sampling UAI 2021 Boosting Black Box Variational Inference NeurIPS 2018 Variational Bayesian Monte Carlo NeurIPS 2018 Model evidence from nonequilibrium simulations NeurIPS 2017 Variational Inference via χ Upper Bound Minimization NeurIPS 2017 Bayesian optimization for automated model selection NeurIPS 2016 Active Learning of Model Evidence Using Bayesian Quadrature NeurIPS 2012 Automatic PCA Dimension Selection for High Dimensional Data and Small Sample Sizes JMLR 2008