probabilistic principal component analysis

Probabilistic Geometric Principal Component Analysis with application to neural data ICLR 2025 Adaptive Latent Feature Sharing for Piecewise Linear Dimensionality Reduction JMLR 2024 On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis NeurIPS 2023 Estimation and Imputation in Probabilistic Principal Component Analysis with Missing Not At Random Data NeurIPS 2020 Generalized probabilistic principal component analysis of correlated data JMLR 2020 Matrix Completion with Quantified Uncertainty through Low Rank Gaussian Copula NeurIPS 2020 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis CVPR 2016 Pushing the Limits of Affine Rank Minimization by Adapting Probabilistic PCA ICML 2015 Robust Multi-Image Based Blind Face Hallucination CVPR 2015 Sparse Submodular Probabilistic PCA AISTATS 2015 Distributed Probabilistic Learning for Camera Networks with Missing Data NeurIPS 2012 Perfect Dimensionality Recovery by Variational Bayesian PCA NeurIPS 2012 Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent NeurIPS 2011 Probabilistic Relational PCA NeurIPS 2009