Bayesian Inference
6,267 papers
Papers per year
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Papers
Robust Outlier Rejection for 3D Registration With Variational Bayes
CVPR 2023
R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents
ICML 2023
Safety Verification of Nonlinear Systems with Bayesian Neural Network Controllers
AAAI 2023
Sample Complexity of Forecast Aggregation
NeurIPS 2023
Sample-efficient Multi-objective Molecular Optimization with GFlowNets
NeurIPS 2023
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
ICML 2023
Sampling-based inference for large linear models, with application to linearised Laplace
ICLR 2023
Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent
NeurIPS 2023
Sampling from Structured Log-Concave Distributions via a Soft-Threshold Dikin Walk
NeurIPS 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting
NeurIPS 2023
Scalable Bayesian Optimization Using Vecchia Approximations of Gaussian Processes
AISTATS 2023
Scalable high-dimensional Bayesian varying coefficient models with unknown within-subject covariance
JMLR 2023
Scalable marked point processes for exchangeable and non-exchangeable event sequences
AISTATS 2023
Scalable nonparametric Bayesian learning for dynamic velocity fields
UAI 2023
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
JMLR 2023
Scale-invariant Bayesian Neural Networks with Connectivity Tangent Kernel
ICLR 2023
Scale-Invariant Infinite Hierarchical Topic Model
ACL 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging
ICCV 2023
Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising
ICCV 2023
Self-Adjusting Weighted Expected Improvement for Bayesian Optimization
AutoML 2023
Self-Correcting Bayesian Optimization through Bayesian Active Learning
NeurIPS 2023
Self-Interpretable Time Series Prediction with Counterfactual Explanations
ICML 2023
Self-Supervised Non-Uniform Kernel Estimation With Flow-Based Motion Prior for Blind Image Deblurring
CVPR 2023
Semantic Similarity Covariance Matrix Shrinkage
EMNLP 2023
Semantic Strengthening of Neuro-Symbolic Learning
AISTATS 2023