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Bayesian Learning

455 directly classified papers

Papers per year

Papers

Bayesian Nonparametric Poisson Factorization for Recommendation Systems AISTATS 2014
Incremental Tree-Based Inference with Dependent Normalized Random Measures AISTATS 2014
Spatio-temporal Representations of Uncertainty in Spiking Neural Networks NIPS 2014
A Probabilistic Framework for Multimodal Retrieval using Integrative Indian Buffet Process NIPS 2014
One-shot learning by inverting a compositional causal process NIPS 2013
Restricting exchangeable nonparametric distributions NIPS 2013
Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013
Efficient Online Inference for Bayesian Nonparametric Relational Models NIPS 2013
Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013
Multi-class Video Co-segmentation with a Generative Multi-video Model CVPR 2013
Exact Learning of Bounded Tree-width Bayesian Networks AISTATS 2013
Learning Linear Bayesian Networks with Latent Variables ICML 2013
Bayesian Robust Matrix Factorization for Image and Video Processing ICCV 2013
Horizon-Independent Optimal Prediction with Log-Loss in Exponential Families COLT 2013
General Oracle Inequalities for Gibbs Posterior with Application to Ranking COLT 2013
Bayesian Estimation of Latently-grouped Parameters in Undirected Graphical Models NIPS 2013
Relevance Topic Model for Unstructured Social Group Activity Recognition NIPS 2013
Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NIPS 2013
Online Learning of Nonparametric Mixture Models via Sequential Variational Approximation NIPS 2013
Bayesian Games for Adversarial Regression Problems ICML 2013
Learning Multiple Behaviors from Unlabeled Demonstrations in a Latent Controller Space ICML 2013
Factorial Multi-Task Learning : A Bayesian Nonparametric Approach ICML 2013
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables NIPS 2013
Nonparametric Multi-group Membership Model for Dynamic Networks NIPS 2013
EDML for Learning Parameters in Directed and Undirected Graphical Models NIPS 2013