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Bayesian Inference

5,566 papers

Papers per year

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522
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Papers

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
A Framework for Improving the Reliability of Black-box Variational Inference JMLR 2024
Adaptive Batch Sizes for Active Learning: A Probabilistic Numerics Approach AISTATS 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Intervention and Conditioning in Causal Bayesian Networks NIPS 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Modeling Random Networks with Heterogeneous Reciprocity JMLR 2024
s-ID: Causal Effect Identification in a Sub-population AAAI 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
Physics-constrained learning of PDE systems with uncertainty quantified port-Hamiltonian models L4DC 2024
Energy-based Epistemic Uncertainty for Graph Neural Networks NIPS 2024
Approximated Orthogonal Projection Unit: Stabilizing Regression Network Training Using Natural Gradient NIPS 2024
Structured Probabilistic Coding AAAI 2024
Dirichlet-based Uncertainty Quantification for Personalized Federated Learning with Improved Posterior Networks IJCAI 2024
Variational Estimators of the Degree-corrected Latent Block Model for Bipartite Networks JMLR 2024
Neural Visibility Field for Uncertainty-Driven Active Mapping CVPR 2024
Hamiltonian Monte Carlo Inference of Marginalized Linear Mixed-Effects Models NIPS 2024
Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression AAAI 2024
DNSMOS Pro: A Reduced-Size DNN for Probabilistic MOS of Speech INTERSPEECH 2024
Cylindrical Thompson Sampling for High-Dimensional Bayesian Optimization AISTATS 2024
Think Twice Before Selection: Federated Evidential Active Learning for Medical Image Analysis with Domain Shifts CVPR 2024
More Labels or Cases? Assessing Label Variation in Natural Language Inference EACL 2024
The Best of Both Worlds: On the Dilemma of Out-of-distribution Detection NIPS 2024
Lower Bounds on the Bayesian Risk via Information Measures JMLR 2024