independent component analysis

A Nonparametric Bayesian Approach Toward Stacked Convolutional Independent Component Analysis ICCV 2015 A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NeurIPS 2015 Causal Inference by Identification of Vector Autoregressive Processes with Hidden Components ICML 2015 Deterministic Independent Component Analysis ICML 2015 Max vs Min: Tensor Decomposition and ICA with nearly Linear Sample Complexity COLT 2015 Rethinking LDA: Moment Matching for Discrete ICA NeurIPS 2015 A Dual Algorithm for Olfactory Computation in the Locust Brain NeurIPS 2014 An Extension of Slow Feature Analysis for Nonlinear Blind Source Separation JMLR 2014 Estimating Dependency Structures for non-Gaussian Components with Linear and Energy Correlations AISTATS 2014 K-means recovers ICA filters when independent components are sparse ICML 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 Blind Signal Separation in the Presence of Gaussian Noise COLT 2013 Efficient Learning of Simplices COLT 2013 Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis NeurIPS 2013 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Topographic Analysis of Correlated Components ACML 2012 Efficient coding of natural images with a population of noisy Linear-Nonlinear neurons NeurIPS 2011 ICA with Reconstruction Cost for Efficient Overcomplete Feature Learning NeurIPS 2011 Improving Policy Gradient Estimates with Influence Information ACML 2011 On Causal Discovery with Cyclic Additive Noise Models NeurIPS 2011 Structural equations and divisive normalization for energy-dependent component analysis NeurIPS 2011 Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity JMLR 2010 -Nested Symmetric Distributions JMLR 2010 Noise-contrastive estimation: A new estimation principle for unnormalized statistical models AISTATS 2010 The Maximal Causes of Natural Scenes are Edge Filters NeurIPS 2010