← Optimization & Theory
Machine Learning › Optimization & Theory ›

Bayesian Inference

4821 directly classified papers

Papers per year

Papers

Benchmarking LLMs via Uncertainty Quantification NIPS 2024
Linear Convergence of Black-Box Variational Inference: Should We Stick the Landing? AISTATS 2024
Sparse Bayesian Generative Modeling for Compressive Sensing NIPS 2024
On Neural Networks as Infinite Tree-Structured Probabilistic Graphical Models NIPS 2024
Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024
TRAQ: Trustworthy Retrieval Augmented Question Answering via Conformal Prediction NAACL 2024
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding COLING 2024
Multi-View 3D Object Reconstruction and Uncertainty Modelling With Neural Shape Prior WACV 2024
Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024
Continuous Relational Diffusion Driven Topic Model with Multi-grained Text for Microblog COLING 2024
PyRater: A Python Toolkit for Annotation Analysis COLING 2024
One Step Closer to Unbiased Aleatoric Uncertainty Estimation AAAI 2024
Tight Verification of Probabilistic Robustness in Bayesian Neural Networks AISTATS 2024
Gaussian Mixture Models with Rare Events JMLR 2024
Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024
Few-shot Temporal Pruning Accelerates Diffusion Models for Text Generation COLING 2024
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk Decoding NAACL 2024
Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Low Tree-Rank Bayesian Vector Autoregression Models JMLR 2023
Is Learning Summary Statistics Necessary for Likelihood-free Inference? ICML 2023
Unsupervised Sampling Promoting for Stochastic Human Trajectory Prediction CVPR 2023
Few-Shot Non-Line-of-Sight Imaging With Signal-Surface Collaborative Regularization CVPR 2023
Variational Sparse Inverse Cholesky Approximation for Latent Gaussian Processes via Double Kullback-Leibler Minimization ICML 2023
Differentially Private Distributed Bayesian Linear Regression with MCMC ICML 2023