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expectation maximization

254 papers

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Also known as

EM ECM

Co-occurring keywords

latent variable model (564) em algorithm (71) variational inference (2069) parameter estimation (274) gaussian mixture model (388) mixture model (262) latent variable (541) probabilistic modeling (851) probabilistic model (476) maximum likelihood (255)

Papers

Ten Steps of EM Suffice for Mixtures of Two Gaussians COLT 2017
Neural Expectation Maximization NIPS 2017
Learning Mixture of Gaussians with Streaming Data NIPS 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017
Instance-Level Label Propagation with Multi-Instance Learning IJCAI 2017
Tight Integration of Spatial and Spectral Features for BSS with Deep Clustering Embeddings INTERSPEECH 2017
A Bayesian Data Augmentation Approach for Learning Deep Models NIPS 2017
Stochastic Difference of Convex Algorithm and its Application to Training Deep Boltzmann Machines AISTATS 2017
Acoustic-to-Articulatory Mapping Based on Mixture of Probabilistic Canonical Correlation Analysis INTERSPEECH 2017
Conditional Bernoulli Mixtures for Multi-label Classification ICML 2016
A Unified Approach for Learning the Parameters of Sum-Product Networks NIPS 2016
Hawkes Processes with Stochastic Excitations ICML 2016
An Expectation Maximization Approach to Joint Modeling of Multidimensional Ratings Derived from Multiple Annotators INTERSPEECH 2016
Robust, Real-Time 3D Tracking of Multiple Objects With Similar Appearances CVPR 2016
Deep Hand: How to Train a CNN on 1 Million Hand Images When Your Data Is Continuous and Weakly Labelled CVPR 2016
Global Analysis of Expectation Maximization for Mixtures of Two Gaussians NIPS 2016
Spectral Methods Meet EM: A Provably Optimal Algorithm for Crowdsourcing JMLR 2016
Accelerated Generative Models for 3D Point Cloud Data CVPR 2016
Nonlinear Statistical Learning with Truncated Gaussian Graphical Models ICML 2016
Learning Sigmoid Belief Networks via Monte Carlo Expectation Maximization AISTATS 2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences NIPS 2016
Robust Tensor Factorization With Unknown Noise CVPR 2016
A Genetic Algorithm for Learning Parameters in Bayesian Networks using Expectation Maximization PGM 2016
Exact Exponent in Optimal Rates for Crowdsourcing ICML 2016
Conditional Restricted Boltzmann Machines for Multi-label Learning with Incomplete Labels AISTATS 2015