Co-occurring keywords · papers mentioning both
Papers
Generalized probabilistic principal component analysis of correlated data
JMLR 2020
Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse
NeurIPS 2019
Loss Landscapes of Regularized Linear Autoencoders
ICML 2019
Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint
CVPR 2018
Globally Sparse Probabilistic PCA
AISTATS 2016
Condition for Perfect Dimensionality Recovery by Variational Bayesian PCA
JMLR 2015
Robust Multi-Image Based Blind Face Hallucination
CVPR 2015
Probabilistic Principal Geodesic Analysis
NeurIPS 2013
Distributed Probabilistic Learning for Camera Networks with Missing Data
NeurIPS 2012
Perfect Dimensionality Recovery by Variational Bayesian PCA
NeurIPS 2012
Probabilistic Relational PCA
NeurIPS 2009
Bayesian Exponential Family PCA
NeurIPS 2008