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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

Estimating Uncertainty in PET Image Reconstruction via Deep Posterior Sampling MIDL 2023
Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation NIPS 2023
Variational Inference with Gaussian Score Matching NIPS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Bayesian online change point detection with Hilbert space approximate Student-t process ICML 2023
Using Perturbation to Improve Goodness-of-Fit Tests based on Kernelized Stein Discrepancy ICML 2023
Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees JMLR 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Conditional score-based diffusion models for Bayesian inference in infinite dimensions NIPS 2023
Estimating the Contamination Factor’s Distribution in Unsupervised Anomaly Detection ICML 2023
Should We Learn Most Likely Functions or Parameters? NIPS 2023
Multi-view Collaborative Gaussian Process Dynamical Systems JMLR 2023
Variational Inverting Network for Statistical Inverse Problems of Partial Differential Equations JMLR 2023
Frequency Domain Gaussian Process Models for $H^∞$ Uncertainties L4DC 2023
Taking the neural sampling code very seriously: A data-driven approach for evaluating generative models of the visual system NIPS 2023
Learning Physical Models that Can Respect Conservation Laws ICML 2023
Physics-Guided Active Learning of Environmental Flow Fields L4DC 2023
Massively parallel reweighted wake-sleep UAI 2023
Optimistic Thompson Sampling-based algorithms for episodic reinforcement learning UAI 2023
SMCP3: Sequential Monte Carlo with Probabilistic Program Proposals AISTATS 2023
Learning Analytical Posterior Probability for Human Mesh Recovery CVPR 2023
Transport Elliptical Slice Sampling AISTATS 2023
Gradient-Free Kernel Stein Discrepancy NIPS 2023
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes NIPS 2023
Knowledge Distillation via Constrained Variational Inference AAAI 2022