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bayesian inference

1907 papers

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BI

Co-occurring keywords

variational inference (2069) markov chain monte carlo (725) gaussian process (1200) probabilistic modeling (852) uncertainty quantification (1393) posterior distribution (259) bayesian learning (185) gibbs sampling (201) graphical model (864) probabilistic model (476)

Papers

Bayesian Joint Estimation of Multiple Graphical Models NIPS 2019
Bayesian Nonparametric Federated Learning of Neural Networks ICML 2019
Exploiting Visual Features Using Bayesian Gated Neural Networks for Disordered Speech Recognition INTERSPEECH 2019
Bayesian Deep Collaborative Matrix Factorization AAAI 2019
Evacuate or Not? A POMDP Model of the Decision Making of Individuals in Hurricane Evacuation Zones UAI 2019
Subspace Inference for Bayesian Deep Learning UAI 2019
Embarrassingly Parallel MCMC using Deep Invertible Transformations UAI 2019
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration CORL 2019
Stochastic Optimal Control as Approximate Input Inference CORL 2019
Bayesian Batch Active Learning as Sparse Subset Approximation NIPS 2019
Bayes Test of Precision, Recall, and F1 Measure for Comparison of Two Natural Language Processing Models ACL 2019
Automated Scalable Bayesian Inference via Hilbert Coresets JMLR 2019
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model NIPS 2019
Variational Convolutional Neural Network Pruning CVPR 2019
GRU-ODE-Bayes: Continuous Modeling of Sporadically-Observed Time Series NIPS 2019
What's to Know? Uncertainty as a Guide to Asking Goal-Oriented Questions CVPR 2019
Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery INTERSPEECH 2019
A Variational EM Framework With Adaptive Edge Selection for Blind Motion Deblurring CVPR 2019
LF-PPL: A Low-Level First Order Probabilistic Programming Language for Non-Differentiable Models AISTATS 2019
Adaptive Gaussian Copula ABC AISTATS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
Bayesian Execution Skill Estimation AAAI 2019
Theory of Minds: Understanding Behavior in Groups through Inverse Planning AAAI 2019
Projected Stein Variational Newton: A Fast and Scalable Bayesian Inference Method in High Dimensions NIPS 2019
AGEM: Solving Linear Inverse Problems via Deep Priors and Sampling NIPS 2019