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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Cutset Bayesian Networks: A New Representation for Learning Rao-Blackwellised Graphical Models IJCAI 2019
Bayesian Parameter Estimation for Nonlinear Dynamics Using Sensitivity Analysis IJCAI 2019
Online Probabilistic Goal Recognition over Nominal Models IJCAI 2019
Sparse Variational Inference: Bayesian Coresets from Scratch NIPS 2019
Variational Bayesian Decision-making for Continuous Utilities NIPS 2019
LF-MMI Training of Bayesian and Gaussian Process Time Delay Neural Networks for Speech Recognition INTERSPEECH 2019
XBART: Accelerated Bayesian Additive Regression Trees AISTATS 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference AISTATS 2019
Calibrating Deep Convolutional Gaussian Processes AISTATS 2019
Communication-Efficient Stochastic Gradient MCMC for Neural Networks AAAI 2019
Combinatorial Bayesian Optimization using the Graph Cartesian Product NIPS 2019
Modeling Uncertainty by Learning a Hierarchy of Deep Neural Connections NIPS 2019
Automated Rule Base Completion as Bayesian Concept Induction AAAI 2019
A Simple Baseline for Bayesian Uncertainty in Deep Learning NIPS 2019
Semi-Supervised Prosody Modeling Using Deep Gaussian Process Latent Variable Model INTERSPEECH 2019
Particle Flow Bayes’ Rule ICML 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019
Covariate-Powered Empirical Bayes Estimation NIPS 2019
Improving Quadrature for Constrained Integrands AISTATS 2019
Adaptive Gaussian Copula ABC AISTATS 2019
Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows AISTATS 2019
SpikeCaKe: Semi-Analytic Nonparametric Bayesian Inference for Spike-Spike Neuronal Connectivity AISTATS 2019
A Bayesian model for sparse graphs with flexible degree distribution and overlapping community structure AISTATS 2019
Chasing Ghosts: Instruction Following as Bayesian State Tracking NIPS 2019
Bayesian Learning of Sum-Product Networks NIPS 2019