#mixture-identifiability

  1. A Practical Algorithm for Topic Modeling with Provable Guarantees
  2. An Operator Theoretic Approach to Nonparametric Mixture Models
  3. Efficiently Learning Mixtures of Two Gaussians
  4. Hierarchical Mixtures-of-Experts for Exponential Family Regression Models: Approximation and Maximum Likelihood Estimation
  5. Identifiability of Finite Mixtures
  6. Identifiability of Finite Mixtures of Elliptical Distributions
  7. Identifiability of parameters in latent structure models with many observed variables
  8. Learning mixtures of spherical Gaussians: moment methods and spectral decompositions
  9. Near-optimal Sample Complexity Bounds for Robust Learning of Gaussian Mixtures via Compression Schemes
  10. Nonlinear ICA Using Auxiliary Variables and Generalized Contrastive Learning
  11. Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices
  12. On the Identifiability of Finite Mixtures
  13. On the mixtures of probability distributions
  14. Semiparametric mixtures of nonparametric regressions
  15. Settling the Polynomial Learnability of Mixtures of Gaussians
  16. Tight Bounds for Learning a Mixture of Two Gaussians
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