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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

A Discrete Hard EM Approach for Weakly Supervised Question Answering IJCNLP 2019
Unsupervised Disambiguation of Syncretism in Inflected Lexicons NAACL 2018
MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization NIPS 2018
Benefits of over-parameterization with EM NIPS 2018
Stochastic Expectation Maximization with Variance Reduction NIPS 2018
Theoretical guarantees for EM under misspecified Gaussian mixture models NIPS 2018
An Empirical Study of Methods for SPN Learning and Inference PGM 2018
Bootstrapping EM via Power EM and Convergence in the Naive Bayes Model AISTATS 2018
Density Adaptive Point Set Registration CVPR 2018
Sliced Wasserstein Distance for Learning Gaussian Mixture Models CVPR 2018
Model-based targeted dimensionality reduction for neuronal population data NIPS 2018
A Pseudo Label based Dataless Naive Bayes Algorithm for Text Classification with Seed Words COLING 2018
Closed-form Marginal Likelihood in Gamma-Poisson Matrix Factorization ICML 2018
Simultaneous Clustering and Estimation of Heterogeneous Graphical Models JMLR 2018
Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization INTERSPEECH 2018
Speech Enhancement Using Deep Mixture of Experts Based on Hard Expectation Maximization INTERSPEECH 2018
Learning Mixtures of Linear Regressions with Nearly Optimal Complexity COLT 2018
Learning Distributions of Shape Trajectories From Longitudinal Datasets: A Hierarchical Model on a Manifold of Diffeomorphisms CVPR 2018
Multi-view Matrix Factorization for Linear Dynamical System Estimation NIPS 2017
DP-EM: Differentially Private Expectation Maximization AISTATS 2017
Convergence of Gradient EM on Multi-component Mixture of Gaussians NIPS 2017
Learning spatiotemporal piecewise-geodesic trajectories from longitudinal manifold-valued data NIPS 2017
Unsupervised Training for Large Vocabulary Translation Using Sparse Lexicon and Word Classes EACL 2017
A Generative Parser with a Discriminative Recognition Algorithm ACL 2017
Learning deep structured network for weakly supervised change detection IJCAI 2017