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Bayesian Inference

1724 directly classified papers

Papers per year

Papers

Quasi-Bayes meets Vines NIPS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Fast Fourier Bayesian Quadrature AISTATS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
Improving Linear System Solvers for Hyperparameter Optimisation in Iterative Gaussian Processes NIPS 2024
Sample-efficient neural likelihood-free Bayesian inference of implicit HMMs AISTATS 2024
Approximate Bayesian inference from noisy likelihoods with Gaussian process emulated MCMC JMLR 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
BMRS: Bayesian Model Reduction for Structured Pruning NIPS 2024
Risk-sensitive control as inference with Rényi divergence NIPS 2024
Think Global, Adapt Local: Learning Locally Adaptive K-Nearest Neighbor Kernel Density Estimators AISTATS 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Diffusion Priors for Variational Likelihood Estimation and Image Denoising NIPS 2024
Improved Bayes Regret Bounds for Multi-Task Hierarchical Bayesian Bandit Algorithms NIPS 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models NIPS 2024
Bayesian Regression Markets JMLR 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
TreeVI: Reparameterizable Tree-structured Variational Inference for Instance-level Correlation Capturing NIPS 2024
Causal vs. Anticausal merging of predictors NIPS 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound NIPS 2024
Sample Efficient Bayesian Learning of Causal Graphs from Interventions NIPS 2024
Provable Posterior Sampling with Denoising Oracles via Tilted Transport NIPS 2024