marginal likelihood

Likelihood hacking in probabilistic program synthesis UAI 2026 Continuous Bayesian Model Selection for Multivariate Causal Discovery ICML 2025 Determine the Number of States in Hidden Markov Models via Marginal Likelihood JMLR 2025 Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024 Gibbs-Based Information Criteria and the Over-Parameterized Regime AISTATS 2024 Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NeurIPS 2024 Improving Neural Additive Models with Bayesian Principles ICML 2024 Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference ICML 2024 Optimal Kernel Choice for Score Function-based Causal Discovery ICML 2024 Scores for Learning Discrete Causal Graphs with Unobserved Confounders AAAI 2024 Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NeurIPS 2024 Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference ICML 2024 Using Autodiff to Estimate Posterior Moments, Marginals and Samples UAI 2024 Approximately Bayes-optimal pseudo-label selection UAI 2023 Bayesian Data Selection JMLR 2023 Hidden Markov Transformer for Simultaneous Machine Translation ICLR 2023 Hyperparameter Optimization through Neural Network Partitioning ICLR 2023 Learning Layer-wise Equivariances Automatically using Gradients NeurIPS 2023 Monotonicity and Double Descent in Uncertainty Estimation with Gaussian Processes ICML 2023 On Masked Pre-training and the Marginal Likelihood NeurIPS 2023 Robust Gaussian process regression with the trimmed marginal likelihood UAI 2023 Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels ICML 2023 Variational Open-Domain Question Answering ICML 2023 Bayesian Model Selection, the Marginal Likelihood, and Generalization ICML 2022 Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NeurIPS 2022