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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

Precision/Recall on Imbalanced Test Data AISTATS 2023
Seq2Seq Surrogates of Epidemic Models to Facilitate Bayesian Inference AAAI 2023
Bayesian Design Principles for Frequentist Sequential Learning ICML 2023
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data JMLR 2023
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types AAAI 2023
Semiparametric Inference Using Fractional Posteriors JMLR 2023
Bayes Risk Transducer: Transducer with Controllable Alignment Prediction INTERSPEECH 2023
Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation AAAI 2023
Exploration via Epistemic Value Estimation AAAI 2023
A theory of representation learning gives a deep generalisation of kernel methods ICML 2023
Federated Averaging Langevin Dynamics: Toward a unified theory and new algorithms AISTATS 2023
A Multi-Task Gaussian Process Model for Inferring Time-Varying Treatment Effects in Panel Data AISTATS 2023
FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023
Bayesian Variable Selection in a Million Dimensions AISTATS 2023
Planning with Hidden Parameter Polynomial MDPs AAAI 2023
MARS: Masked Automatic Ranks Selection in Tensor Decompositions AISTATS 2023
A Bayesian Approach To Analysing Training Data Attribution In Deep Learning NIPS 2023
The Fine Print on Tempered Posteriors ACML 2023
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning AAAI 2023
Folded Hamiltonian Monte Carlo for Bayesian Generative Adversarial Networks ACML 2023
An improved variational approximate posterior for the deep Wishart process UAI 2023
Bayesian Structure Scores for Probabilistic Circuits AISTATS 2023
Probabilistic Reasoning and Learning for Trustworthy AI AAAI 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