beta process

Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Bayesian Adaptation of Network Depth and Width for Continual Learning ICML 2024 Joint Inference for Neural Network Depth and Dropout Regularization NeurIPS 2021 The Indian Chefs Process UAI 2020 A Birth-Death Process for Feature Allocation ICML 2017 An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process ICML 2015 Bayesian Sparse Representation for Hyperspectral Image Super Resolution CVPR 2015 Beta Process Multiple Kernel Learning CVPR 2014 Beta Process Joint Dictionary Learning for Coupled Feature Spaces with Application to Single Image Super-Resolution CVPR 2013 Incremental Semantically Grounded Learning from Demonstration RSS 2013 Multi-task Sparse Learning with Beta Process Prior for Action Recognition CVPR 2013 Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data NeurIPS 2012 Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction RSS 2012 Stick-Breaking Beta Processes and the Poisson Process AISTATS 2012 The Kernel Beta Process NeurIPS 2011 Indian Buffet Processes with Power-law Behavior NeurIPS 2009 Non-Parametric Bayesian Dictionary Learning for Sparse Image Representations NeurIPS 2009 Sharing Features among Dynamical Systems with Beta Processes NeurIPS 2009