factor analysis

Non-Gaussian Discriminative Factor Models via the Max-Margin Rank-Likelihood ICML 2015 Rectified Factor Networks NeurIPS 2015 A Non-parametric Conditional Factor Regression Model for Multi-Dimensional Input and Response AISTATS 2014 Biclustering Using Message Passing NeurIPS 2014 Clustered factor analysis of multineuronal spike data NeurIPS 2014 Expectation Propagation for Likelihoods Depending on an Inner Product of Two Multivariate Random Variables AISTATS 2014 Discovering Hidden Variables in Noisy-Or Networks using Quartet Tests NeurIPS 2013 Probabilistic Principal Geodesic Analysis NeurIPS 2013 Tensor Analyzers ICML 2013 A nonparametric variable clustering model NeurIPS 2012 Latent Coincidence Analysis: A Hidden Variable Model for Distance Metric Learning NeurIPS 2012 Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes JMLR 2010 Inference of Sparse Networks with Unobserved Variables. Application to Gene Regulatory Networks AISTATS 2010 Variational bounds for mixed-data factor analysis NeurIPS 2010 Linearly constrained Bayesian matrix factorization for blind source separation NeurIPS 2009 Variational Gaussian-process factor analysis for modeling spatio-temporal data NeurIPS 2009 Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity NeurIPS 2008 The Infinite Hierarchical Factor Regression Model NeurIPS 2008 Bilinear Discriminant Component Analysis JMLR 2007