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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

What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Variational Convolutional Neural Network Pruning CVPR 2019
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019
Mutually Regressive Point Processes NIPS 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Robustness Guarantees for Bayesian Inference with Gaussian Processes AAAI 2019
Online sampling from log-concave distributions NIPS 2019
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NIPS 2019
Estimating the Causal Effect from Partially Observed Time Series AAAI 2019
Bayesian Nonparametric Federated Learning of Neural Networks ICML 2019
Comparative Study of Parametric and Representation Uncertainty Modeling for Recurrent Neural Network Language Models INTERSPEECH 2019
Safeguarded Dynamic Label Regression for Noisy Supervision AAAI 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
GASC: Genre-Aware Semantic Change for Ancient Greek ACL 2019
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery INTERSPEECH 2019
Evidence-based Trustworthiness ACL 2019
Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning NIPS 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction NIPS 2019
Band-Limited Gaussian Processes: The Sinc Kernel NIPS 2019
A Generative Adversarial Density Estimator CVPR 2019
Bayesian Hierarchical Dynamic Model for Human Action Recognition CVPR 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019
Efficient Neutrino Oscillation Parameter Inference with Gaussian Process AAAI 2019