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Bayesian & Probabilistic

3,963 papers (2 classified directly here)

Subtopics

Probabilistic Modeling (2,252) Variational Inference (802) Gaussian Processes (570) Bayesian Learning (455) Bayesian Optimization (221) Markov Chain Monte Carlo (143) Nonparametric Bayesian (86) Bayesian Networks (81) Conditional Random Fields (5)

Papers per year

9
118
124
394
151
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Papers (including subtopics)

Robust Uncertainty Quantification Using Conformalised Monte Carlo Prediction AAAI 2024
On Regularized Radon-Nikodym Differentiation JMLR 2024
Optimal estimation of Gaussian (poly)trees AISTATS 2024
Disentangling the Roles of Distinct Cell Classes with Cell-Type Dynamical Systems NIPS 2024
Solving Spectrum Unmixing as a Multi-Task Bayesian Inverse Problem with Latent Factors for Endmember Variability AAAI 2024
Stochastic Approximation with Biased MCMC for Expectation Maximization AISTATS 2024
Evidence Estimation in Gaussian Graphical Models Using a Telescoping Block Decomposition of the Precision Matrix JMLR 2024
NeoRL: Efficient Exploration for Nonepisodic RL NIPS 2024
Variational Gaussian Process Diffusion Processes AISTATS 2024
On Divergence Measures for Training GFlowNets NIPS 2024
Sample-Constrained Black Box Optimization for Audio Personalization AAAI 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction AAAI 2024
Wasserstein Proximal Coordinate Gradient Algorithms JMLR 2024
3D Gaussian Splatting as Markov Chain Monte Carlo NIPS 2024
Bayesian Domain Adaptation with Gaussian Mixture Domain-Indexing NIPS 2024
Fairness-Aware Estimation of Graphical Models NIPS 2024
On the connection between Noise-Contrastive Estimation and Contrastive Divergence AISTATS 2024
Interventional Causal Discovery in a Mixture of DAGs NIPS 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
Neural Markov Random Field for Stereo Matching CVPR 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Beyond Bayesian Model Averaging over Paths in Probabilistic Programs with Stochastic Support AISTATS 2024
Robust Gaussian Processes via Relevance Pursuit NIPS 2024
Bayesian Adaptive Calibration and Optimal Design NIPS 2024