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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Structured Optimal Variational Inference for Dynamic Latent Space Models JMLR 2024
SURE: SUrvey REcipes for building reliable and robust deep networks CVPR 2024
Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024
Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
A Data-Adaptive RKHS Prior for Bayesian Learning of Kernels in Operators JMLR 2024
Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024
Geometric No-U-Turn Samplers: Concepts and Evaluation PGM 2024
Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024
WorDepth: Variational Language Prior for Monocular Depth Estimation CVPR 2024
Boundary constrained Gaussian processes for robust physics-informed machine learning of linear partial differential equations JMLR 2024
A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints RSS 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Stein Variational Ergodic Search RSS 2024
A Unifying Variational Framework for Gaussian Process Motion Planning AISTATS 2024
Probabilistic ODE solvers for integration error-aware numerical optimal control L4DC 2024
On Calibration of Speech Classification Models: Insights from Energy-Based Model Investigations INTERSPEECH 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024
Gaussian Mixture Models with Rare Events JMLR 2024
Efficient LLM Comparative Assessment: A Product of Experts Framework for Pairwise Comparisons EMNLP 2024
Temperature-scaling surprisal estimates improve fit to human reading times – but does it do so for the “right reasons”? ACL 2024
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space COLT 2024
Spatial properties of Bayesian unsupervised trees COLT 2024