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gaussian mixture

70 papers

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GM

Co-occurring keywords

gaussian mixture model (389) mixture model (262) variational inference (2069) sample complexity (1169) parameter estimation (274) expectation maximization (255) diffusion model (3751) generative model (2892) maximum likelihood estimation (233) maximum likelihood (255)

Papers

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