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

Learning Analytical Posterior Probability for Human Mesh Recovery CVPR 2023

Gaussian Processes with Errors in Variables: Theory and Computation JMLR 2023

Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023

Autoencoded sparse Bayesian in-IRT factorization, calibration, and amortized inference for the Work Disability Functional Assessment Battery AISTATS 2023

Semiparametric Inference Using Fractional Posteriors JMLR 2023

Reliable and Interpretable Personalized Federated Learning CVPR 2023

Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb NIPS 2023

Conditional score-based diffusion models for Bayesian inference in infinite dimensions NIPS 2023

Federated Learning with Uncertainty via Distilled Predictive Distributions ACML 2023

Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023

Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023

Local Justice and Machine Learning: Modeling and Inferring Dynamic Ethical Preferences toward Allocations AAAI 2023

Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model NIPS 2023

Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference AAAI 2023

Noise-Adaptive Thompson Sampling for Linear Contextual Bandits NIPS 2023

Likelihood Ratio Confidence Sets for Sequential Decision Making NIPS 2023

A Finite-Particle Convergence Rate for Stein Variational Gradient Descent NIPS 2023

An Ordinal Latent Variable Model of Conflict Intensity ACL 2023

Investigating a Generalization of Probabilistic Material Implication and Bayesian Conditionals UAI 2023

Sentiment as an Ordinal Latent Variable EACL 2023

Transport Reversible Jump Proposals AISTATS 2023

Bayesian Data Selection JMLR 2023

Function-Space Regularization in Neural Networks: A Probabilistic Perspective ICML 2023

Coin Sampling: Gradient-Based Bayesian Inference without Learning Rates ICML 2023

Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation AAAI 2023