bayesian inference

1904 papers

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Also known as

MCMC MBR BI BVMM MAP

Co-occurring keywords

variational inference (2069) markov chain monte carlo (724) gaussian process (1198) probabilistic modeling (851) uncertainty quantification (1365) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (863) probabilistic model (476)

Papers

Score Operator Newton transport AISTATS 2024

Making Better Use of Unlabelled Data in Bayesian Active Learning AISTATS 2024

Diversification of Adaptive Policy for Effective Offline Reinforcement Learning IJCAI 2024

Predicting Initial Essay Quality Scores to Increase the Efficiency of Comparative Judgment Assessments NAACL 2024

Bayesian Differentiable Physics for Cloth Digitalization CVPR 2024

Identifying and Addressing Disparities in Public Libraries with Bayesian Latent Variable Modeling AAAI 2024

Uncertainty informed optimal resource allocation with Gaussian process based Bayesian inference L4DC 2024

Unsupervised Anomaly Detection via Masked Diffusion Posterior Sampling IJCAI 2024

Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews INTERSPEECH 2024

PAC-Bayes-Chernoff bounds for unbounded losses NIPS 2024

Tensor-train methods for sequential state and parameter learning in state-space models JMLR 2024

Uncertainty Quantification in Heterogeneous Treatment Effect Estimation with Gaussian-Process-Based Partially Linear Model AAAI 2024

Bias Amplification in Language Model Evolution: An Iterated Learning Perspective NIPS 2024

Fortuna: A Library for Uncertainty Quantification in Deep Learning JMLR 2024

Principal Component Analysis as a Sanity Check for Bayesian Phylolinguistic Reconstruction COLING 2024

PyRater: A Python Toolkit for Annotation Analysis COLING 2024

Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024

Label Shift Estimation for Class-Imbalance Problem: A Bayesian Approach WACV 2024

Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024

Pure Differential Privacy for Functional Summaries with a Laplace-like Process JMLR 2024

Riemannian Laplace Approximation with the Fisher Metric AISTATS 2024

Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024

Dynamic Knowledge Injection for AIXI Agents AAAI 2024

Low Degree Hardness for Broadcasting on Trees NIPS 2024

Online Posterior Sampling with a Diffusion Prior NIPS 2024