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Bayesian Learning

1663 directly classified papers

Papers per year

Papers

Comparison of Non-Parametric Bayesian Mixture Models for Syllable Clustering and Zero-Resource Speech Processing INTERSPEECH 2017
Robust Probabilistic Modeling with Bayesian Data Reweighting ICML 2017
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian Processes NIPS 2017
Learning Structured Weight Uncertainty in Bayesian Neural Networks AISTATS 2017
Concrete Dropout NIPS 2017
On the Hyperprior Choice for the Global Shrinkage Parameter in the Horseshoe Prior AISTATS 2017
Evaluating Bayesian Models with Posterior Dispersion Indices ICML 2017
Bayesian Eigenobjects: A Unified Framework for 3D Robot Perception RSS 2017
A Birth-Death Process for Feature Allocation ICML 2017
Bayesian Boolean Matrix Factorisation ICML 2017
Thompson Sampling for the MNL-Bandit COLT 2017
Convolutional Gaussian Processes NIPS 2017
Deep Latent Dirichlet Allocation with Topic-Layer-Adaptive Stochastic Gradient Riemannian MCMC ICML 2017
An Infinite Hidden Markov Model With Similarity-Biased Transitions ICML 2017
Deep Bayesian Active Learning with Image Data ICML 2017
Local-to-Global Bayesian Network Structure Learning ICML 2017
Scalable Log Determinants for Gaussian Process Kernel Learning NIPS 2017
Gauging Variational Inference NIPS 2017
Bayesian Optimization with Gradients NIPS 2017
Bayesian Models of Data Streams with Hierarchical Power Priors ICML 2017
Model evidence from nonequilibrium simulations NIPS 2017
Adaptive Bayesian Sampling with Monte Carlo EM NIPS 2017
Personalizing Gesture Recognition Using Hierarchical Bayesian Neural Networks CVPR 2017
ShapeOdds: Variational Bayesian Learning of Generative Shape Models CVPR 2017
Natural-Parameter Networks: A Class of Probabilistic Neural Networks NIPS 2016