Skip to content
conftrace_

Bayesian & Probabilistic

5,407 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Probabilistic Modeling (3,137) Bayesian Learning (1,734) Bayesian Inference (1,087) Variational Inference (275) Bayesian Networks (103) Gaussian Processes (88)

Papers per year

1
9
127
168
460
385
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Using Uncertainty Quantification to Characterize and Improve Out-of-Domain Learning for PDEs ICML 2024 Value-Distributional Model-Based Reinforcement Learning JMLR 2024 Variational Delayed Policy Optimization NeurIPS 2024 Variational Gaussian Process Diffusion Processes AISTATS 2024 Variational Inference with Coverage Guarantees in Simulation-Based Inference ICML 2024 Variational Language Concepts for Interpreting Foundation Language Models EMNLP 2024 Variational Multi-scale Representation for Estimating Uncertainty in 3D Gaussian Splatting NeurIPS 2024 Variational Resampling AISTATS 2024 VI-OOD: A Unified Framework of Representation Learning for Textual Out-of-distribution Detection COLING 2024 Walking the Values in Bayesian Inverse Reinforcement Learning UAI 2024 Warped Diffusion for Latent Differentiation Inference AISTATS 2024 What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions ICML 2024 What type of inference is planning? NeurIPS 2024 Winner-takes-all learners are geometry-aware conditional density estimators ICML 2024 Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising Diffusion NeurIPS 2024 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation ICCV 2023 A Bayesian approach for bandit online optimization with switching cost UAI 2023 A Bayesian approach to breaking things: efficiently predicting and repairing failure modes via sampling CoRL 2023 A Bayesian Bradley-Terry model to compare multiple ML algorithms on multiple data sets JMLR 2023 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 A Corrected Expected Improvement Acquisition Function Under Noisy Observations ACML 2023 Actually Sparse Variational Gaussian Processes AISTATS 2023 Adaptive Conditional Quantile Neural Processes UAI 2023 Adaptive Uncertainty Estimation via High-Dimensional Testing on Latent Representations NeurIPS 2023 AdaVAE: Bayesian Structural Adaptation for Variational Autoencoders NeurIPS 2023