nonparametric prior

Truncated Inverse-Lévy Measure Representation of the Beta Process AISTATS 2025 Nonparametric exponential family graph embeddings for multiple representation learning UAI 2022 NP-DRAW: A Non-Parametric Structured Latent Variable Model for Image Generation UAI 2021 Gaussian Process Latent Variable Alignment Learning AISTATS 2019 Non-Parametric Priors For Generative Adversarial Networks ICML 2019 Multi-Objective Convolutional Learning for Face Labeling CVPR 2015 Automatic Discovery of Cognitive Skills to Improve the Prediction of Student Learning NeurIPS 2014 Improving Prediction from Dirichlet Process Mixtures via Enrichment JMLR 2014 Student-t Processes as Alternatives to Gaussian Processes AISTATS 2014 Restricting exchangeable nonparametric distributions NeurIPS 2013 A Nonparametric Conjugate Prior Distribution for the Maximizing Argument of a Noisy Function NeurIPS 2012 The Kernel Beta Process NeurIPS 2011 Nonparametric prior for adaptive sparsity AISTATS 2010 Probabilistic latent variable models for distinguishing between cause and effect NeurIPS 2010 Tree-Structured Stick Breaking for Hierarchical Data NeurIPS 2010 Stochastic Relational Models for Discriminative Link Prediction NeurIPS 2006