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Bayesian Inference

4821 directly classified papers

Papers per year

Papers

A Simple Approach to Improve Single-Model Deep Uncertainty via Distance-Awareness JMLR 2023
Evaluating the Fairness of Deep Learning Uncertainty Estimates in Medical Image Analysis MIDL 2023
Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023
Simple and Efficient Confidence Score for Grading Whole Slide Images MIDL 2023
On Masked Pre-training and the Marginal Likelihood NIPS 2023
Training Chain-of-Thought via Latent-Variable Inference NIPS 2023
The Treasure Beneath Multiple Annotations: An Uncertainty-Aware Edge Detector CVPR 2023
Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
The Fine Print on Tempered Posteriors ACML 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023
SatLM: Satisfiability-Aided Language Models Using Declarative Prompting NIPS 2023
Beyond Confidence: Reliable Models Should Also Consider Atypicality NIPS 2023
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning NIPS 2023
Learning Distortion Invariant Representation for Image Restoration From a Causality Perspective CVPR 2023
Thompson Exploration with Best Challenger Rule in Best Arm Identification ACML 2023
Active Level Set Estimation for Continuous Search Space with Theoretical Guarantee ACML 2023
Transformed Gaussian Processes for Characterizing a Model’s Discrepancy ACML 2023
Incentives in Private Collaborative Machine Learning NIPS 2023
A Partially Observable Monte Carlo Planning Algorithm Based on Path Modification ACML 2023
Bayesian Risk-Averse Q-Learning with Streaming Observations NIPS 2023
Model-free Posterior Sampling via Learning Rate Randomization NIPS 2023
“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization NIPS 2023
Efficient Exploration in Continuous-time Model-based Reinforcement Learning NIPS 2023
PROB: Probabilistic Objectness for Open World Object Detection CVPR 2023