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mixture of linear regression

9 papers

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Co-occurring keywords · papers mentioning both

expectation maximization (3) compressed sensing (3) local convergence (2) latent variable model (2) expectation-maximization algorithm (2) sparse signal recovery (2) sample complexity (2) parameter estimation (2) 1-bit compressed sensing (1) tensor power method (1)

Papers

Sharp analysis of EM for learning mixtures of pairwise differences COLT 2023 On Learning Mixture of Linear Regressions in the Non-Realizable Setting ICML 2022 Support Recovery of Sparse Signals from a Mixture of Linear Measurements NeurIPS 2021 EM Converges for a Mixture of Many Linear Regressions AISTATS 2020 Recovery of Sparse Signals from a Mixture of Linear Samples ICML 2020 Sample Complexity of Learning Mixture of Sparse Linear Regressions NeurIPS 2019 Learning Mixtures of Linear Regressions with Nearly Optimal Complexity COLT 2018 High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm ICML 2017 Spectral Experts for Estimating Mixtures of Linear Regressions ICML 2013