← Bayesian & Probabilistic
Artificial Intelligence › Bayesian & Probabilistic ›

Bayesian Inference

518 directly classified papers

Papers per year

Papers

Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
FSP-Laplace: Function-Space Priors for the Laplace Approximation in Bayesian Deep Learning NIPS 2024
Full Bayesian Significance Testing for Neural Networks AAAI 2024
Online Bayesian Persuasion Without a Clue NIPS 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy NIPS 2024
Bayesian Calibration of Win Rate Estimation with LLM Evaluators EMNLP 2024
MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees AAAI 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Safeguarded Progress in Reinforcement Learning: Safe Bayesian Exploration for Control Policy Synthesis AAAI 2024
Streaming Bayes GFlowNets NIPS 2024
A Neural Network Approach for Efficiently Answering Most Probable Explanation Queries in Probabilistic Models NIPS 2024
A Bayesian Approach to Data Point Selection NIPS 2024
Root Cause Explanation of Outliers under Noisy Mechanisms AAAI 2024
Sampling-Resilient Multi-Object Tracking AAAI 2024
Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation AAAI 2024
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence AAAI 2024
Estimating the Hallucination Rate of Generative AI NIPS 2024
PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance AAAI 2024
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration AAAI 2024
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design AAAI 2024
Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews INTERSPEECH 2024
Probabilistic size-and-shape functional mixed models NIPS 2024
Parallel-in-Time Probabilistic Numerical ODE Solvers JMLR 2024
Shaving Weights with Occam's Razor: Bayesian Sparsification for Neural Networks using the Marginal Likelihood NIPS 2024
Mind the GAP: Improving Robustness to Subpopulation Shifts with Group-Aware Priors AISTATS 2024