gaussian mixture

Probabilistic FastText for Multi-Sense Word Embeddings ACL 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Transfer of Value Functions via Variational Methods NeurIPS 2018 Deep Mixture of Linear Inverse Regressions Applied to Head-Pose Estimation CVPR 2017 Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NeurIPS 2016 Multiple Output Regression with Latent Noise JMLR 2016 Adaptive Low-Complexity Sequential Inference for Dirichlet Process Mixture Models NeurIPS 2015 Sparse Solutions to Nonnegative Linear Systems and Applications AISTATS 2015 Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians COLT 2014 Near-Optimal-Sample Estimators for Spherical Gaussian Mixtures NeurIPS 2014 Persistent Monitoring of Stochastic Spatio-temporal Phenomena with a Small Team of Robots RSS 2014 Robust Bayesian Max-Margin Clustering NeurIPS 2014 The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures COLT 2014 Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation NeurIPS 2013 Moment-based Uniform Deviation Bounds for k-means and Friends NeurIPS 2013 Fast Weighted Exponential Product Rules for Robust General Multi-Robot Data Fusion RSS 2012 Provable ICA with Unknown Gaussian Noise, with Implications for Gaussian Mixtures and Autoencoders NeurIPS 2012 Scalable Training of Mixture Models via Coresets NeurIPS 2011 A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians JMLR 2007 Point-Based Value Iteration for Continuous POMDPs JMLR 2006 Stochastic Complexities of Gaussian Mixtures in Variational Bayesian Approximation JMLR 2006