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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

PGMax: Factor Graphs for Discrete Probabilistic Graphical Models and Loopy Belief Propagation in JAX JMLR 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
Bayesian Regression Markets JMLR 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Flexible Bayesian Product Mixture Models for Vector Autoregressions JMLR 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
Posterior Uncertainty Quantification in Neural Networks using Data Augmentation AISTATS 2024
On the Computational Complexity of Metropolis-Adjusted Langevin Algorithms for Bayesian Posterior Sampling JMLR 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo AISTATS 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
On the Computational Complexity of Private High-dimensional Model Selection NIPS 2024
Density-based User Representation using Gaussian Process Regression for Multi-interest Personalized Retrieval NIPS 2024
Poisson Variational Autoencoder NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
Quasi-Bayes meets Vines NIPS 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Sample-efficient Bayesian Optimisation Using Known Invariances NIPS 2024
Nonparametric Automatic Differentiation Variational Inference with Spline Approximation AISTATS 2024