Pages that link to "Item:Q2934101"
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The following pages link to Tensor decompositions for learning latent variable models (Q2934101):
Displaying 50 items.
- Estimating multivariate latent-structure models (Q282450) (← links)
- Spectral learning of weighted automata. A forward-backward perspective (Q479459) (← links)
- Operator norm inequalities between tensor unfoldings on the partition lattice (Q513218) (← links)
- Tensor-tensor products with invertible linear transforms (Q745221) (← links)
- Decomposing tensors into frames (Q900984) (← links)
- Convergence rate analysis for the higher order power method in best rank one approximations of tensors (Q1616037) (← links)
- A new method of moments for latent variable models (Q1631798) (← links)
- A note on the simultaneous Waring rank of monomials (Q1670791) (← links)
- Nonparametric estimation of non-exchangeable latent-variable models (Q1676371) (← links)
- On the number of Waring decompositions for a generic polynomial vector (Q1678283) (← links)
- Orthogonal and unitary tensor decomposition from an algebraic perspective (Q1686310) (← links)
- Using negative curvature in solving nonlinear programs (Q1694388) (← links)
- Convergence rates of latent topic models under relaxed identifiability conditions (Q1711601) (← links)
- Reducing uncertainty of dynamic heterogeneous information networks: a fusing reconstructing approach (Q1741322) (← links)
- Efficient semiparametric estimation and model selection for multidimensional mixtures (Q1746537) (← links)
- On a geometric method for the identifiability of forms (Q1987786) (← links)
- On the subdifferential of symmetric convex functions of the spectrum for symmetric and orthogonally decomposable tensors (Q2002772) (← links)
- On polynomial time methods for exact low-rank tensor completion (Q2007852) (← links)
- Least squares moment identification of binary regression mixture models (Q2036315) (← links)
- Robust high-dimensional factor models with applications to statistical machine learning (Q2038305) (← links)
- Moment identifiability of homoscedastic Gaussian mixtures (Q2040453) (← links)
- Sparse random tensors: concentration, regularization and applications (Q2044387) (← links)
- Approximate minimization of weighted tree automata (Q2064525) (← links)
- Riemannian Newton optimization methods for the symmetric tensor approximation problem (Q2070849) (← links)
- Asymptotic behavior of large Gaussian correlated Wishart matrices (Q2099996) (← links)
- Smoothed tensor quantile regression estimation for longitudinal data (Q2101389) (← links)
- An optimal statistical and computational framework for generalized tensor estimation (Q2119217) (← links)
- Low tubal rank tensor recovery using the Bürer-Monteiro factorisation approach. Application to optical coherence tomography (Q2122021) (← links)
- Inference for low-rank tensors -- no need to debias (Q2131273) (← links)
- Tensor decomposition for learning Gaussian mixtures from moments (Q2133926) (← links)
- Learning diagonal Gaussian mixture models and incomplete tensor decompositions (Q2135086) (← links)
- Subgroup-effects models for the analysis of personal treatment effects (Q2135337) (← links)
- Smoothed analysis for tensor methods in unsupervised learning (Q2144543) (← links)
- The set of orthogonal tensor trains (Q2155628) (← links)
- On the identifiability of ternary forms (Q2176121) (← links)
- Statistical limits of spiked tensor models (Q2179237) (← links)
- Some inequalities on the spectral radius of nonnegative tensors (Q2189233) (← links)
- Optimal estimation of Gaussian mixtures via denoised method of moments (Q2215721) (← links)
- Anomaly detection in scientific data using joint statistical moments (Q2220587) (← links)
- Bounds on strongly orthogonal ranks of tensors (Q2284335) (← links)
- An inexact augmented Lagrangian method for computing strongly orthogonal decompositions of tensors (Q2307705) (← links)
- Three-way clustering of multi-tissue multi-individual gene expression data using semi-nonnegative tensor decomposition (Q2318675) (← links)
- Tensor train spectral method for learning of hidden Markov models (HMM) (Q2324354) (← links)
- An operator theoretic approach to nonparametric mixture models (Q2328057) (← links)
- The Hitchhiker guide to: secant varieties and tensor decomposition (Q2337279) (← links)
- A spectral algorithm for latent Dirichlet allocation (Q2345947) (← links)
- Condition numbers for the tensor rank decomposition (Q2408941) (← links)
- Successive partial-symmetric rank-one algorithms for almost unitarily decomposable conjugate partial-symmetric tensors (Q2422614) (← links)
- Identifiability for a class of symmetric tensors (Q2424146) (← links)
- Statistically optimal and computationally efficient low rank tensor completion from noisy entries (Q2656588) (← links)
