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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

Planning with Hidden Parameter Polynomial MDPs AAAI 2023
Probabilistic Reasoning and Learning for Trustworthy AI AAAI 2023
On the geometry of Stein variational gradient descent JMLR 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Progressive Bayesian Inference for Scribble-Supervised Semantic Segmentation AAAI 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023
Score-Based Diffusion Models as Principled Priors for Inverse Imaging ICCV 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Fully Bayesian Autoencoders with Latent Sparse Gaussian Processes ICML 2023
Sparse Spectral Bayesian Permanental Process with Generalized Kernel AISTATS 2023
ELFNet: Evidential Local-global Fusion for Stereo Matching ICCV 2023
But Are You Sure? An Uncertainty-Aware Perspective on Explainable AI AISTATS 2023
Free Energy of Bayesian Convolutional Neural Network with Skip Connection ACML 2023
Regularization for Shuffled Data Problems via Exponential Family Priors on the Permutation Group AISTATS 2023
Noise-Aware Statistical Inference with Differentially Private Synthetic Data AISTATS 2023
Bayesian Federated Learning: A Survey IJCAI 2023
A Complete Recipe for Diffusion Generative Models ICCV 2023
Exploration via Epistemic Value Estimation AAAI 2023
Latent Autoregressive Source Separation AAAI 2023
Towards a Complete Analysis of Langevin Monte Carlo: Beyond Poincaré Inequality COLT 2023
Langevin Diffusion Variational Inference AISTATS 2023
Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations ACL 2023