nonparametric model

Latent Feature Lasso ICML 2017 Integrating Parametric and Non-Parametric Models For Scene Labeling CVPR 2015 Manifold-valued Dirichlet Processes ICML 2015 Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015 Active Learning of Parameterized Skills ICML 2014 Blossom Tree Graphical Models NeurIPS 2014 Gaussian Process Volatility Model NeurIPS 2014 Information-based learning by agents in unbounded state spaces NeurIPS 2014 A Non-parametric Bayesian Network Prior of Human Pose ICCV 2013 Memoized Online Variational Inference for Dirichlet Process Mixture Models NeurIPS 2013 Nonparametric Multi-group Membership Model for Dynamic Networks NeurIPS 2013 Slice sampling normalized kernel-weighted completely random measure mixture models NeurIPS 2012 Estimating Probabilities in Recommendation Systems AISTATS 2011 Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations NeurIPS 2010 Nonparametric Tree Graphical Models AISTATS 2010 A Sparse Non-Parametric Approach for Single Channel Separation of Known Sounds NeurIPS 2009 Non-Parametric Modeling of Partially Ranked Data JMLR 2008 Nonparametric sparse hierarchical models describe V1 fMRI responses to natural images NeurIPS 2008 Non-parametric Modeling of Partially Ranked Data NeurIPS 2007 A Nonparametric Approach to Bottom-Up Visual Saliency NeurIPS 2006 Learning Nonparametric Models for Probabilistic Imitation NeurIPS 2006