bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Virtual-Event-Based Posterior Sampling and Inference for Neyman-Scott Processes JMLR 2024

Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NIPS 2024

A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024

Penalized Overdamped and Underdamped Langevin Monte Carlo Algorithms for Constrained Sampling JMLR 2024

Gated Inference Network: Inference and Learning State-Space Models NIPS 2024

Differentially private methods for managing model uncertainty in linear regression JMLR 2024

Nonasymptotic analysis of Stochastic Gradient Hamiltonian Monte Carlo under local conditions for nonconvex optimization JMLR 2024

Exploration of the Search Space of Gaussian Graphical Models for Paired Data JMLR 2024

Constrained Sampling with Primal-Dual Langevin Monte Carlo NIPS 2024

Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024

Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024

Stable Implementation of Probabilistic ODE Solvers JMLR 2024

FedLPA: One-shot Federated Learning with Layer-Wise Posterior Aggregation NIPS 2024

Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox NIPS 2024

The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024

Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024

Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024

PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024

Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024

Estimating the Hallucination Rate of Generative AI NIPS 2024

Uncertainty-based Offline Variational Bayesian Reinforcement Learning for Robustness under Diverse Data Corruptions NIPS 2024

SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024

Poisson Variational Autoencoder NIPS 2024

Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024

Transfer Learning with Uncertainty Quantification: Random Effect Calibration of Source to Target (RECaST) JMLR 2024