The following pages link to (Q5251797):
Displaying 50 items.
- De-noising analysis of noisy data under mixed graphical models (Q2161183) (← links)
- Best sparse rank-1 approximation to higher-order tensors via a truncated exponential induced regularizer (Q2161912) (← links)
- The backbone method for ultra-high dimensional sparse machine learning (Q2163249) (← links)
- Real-time detection of a change-point in a linear expectile model (Q2165847) (← links)
- A convex optimization framework for the identification of homogeneous reaction systems (Q2174011) (← links)
- Sparse high-dimensional regression: exact scalable algorithms and phase transitions (Q2176621) (← links)
- Clustered common factor exploration in factor analysis (Q2177741) (← links)
- Dealing with missing information in data envelopment analysis by means of low-rank matrix completion (Q2178379) (← links)
- Machine learning-based surrogate modeling for data-driven optimization: a comparison of subset selection for regression techniques (Q2182781) (← links)
- Projective inference in high-dimensional problems: prediction and feature selection (Q2188473) (← links)
- tSSNALM: a fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA (Q2189837) (← links)
- Inference for high-dimensional instrumental variables regression (Q2190211) (← links)
- Lasso guarantees for \(\beta \)-mixing heavy-tailed time series (Q2196212) (← links)
- Certifiably optimal sparse inverse covariance estimation (Q2205987) (← links)
- A class of null space conditions for sparse recovery via nonconvex, non-separable minimizations (Q2211058) (← links)
- Sparse regression: scalable algorithms and empirical performance (Q2225311) (← links)
- A discussion on practical considerations with sparse regression methodologies (Q2225315) (← links)
- Discussion of ``Best subset, forward stepwise or Lasso? Analysis and recommendations based on extensive comparisons'' (Q2225316) (← links)
- A look at robustness and stability of \(\ell_1\)-versus \(\ell_0\)-regularization: discussion of papers by Bertsimas et al. and Hastie et al. (Q2225318) (← links)
- Rejoinder: ``Sparse regression: scalable algorithms and empirical performance'' (Q2225319) (← links)
- Relating \(\ell_p\) regularization and reweighted \(\ell_1\) regularization (Q2230788) (← links)
- Regularized bridge-type estimation with multiple penalties (Q2230875) (← links)
- On sparse ensemble methods: an application to short-term predictions of the evolution of COVID-19 (Q2239910) (← links)
- Norm ball classifier for one-class classification (Q2241193) (← links)
- Instance-dependent cost-sensitive learning for detecting transfer fraud (Q2242220) (← links)
- Prediction of the Nash through penalized mixture of logistic regression models (Q2245174) (← links)
- Market stability with machine learning agents (Q2246684) (← links)
- Data science, big data and statistics (Q2273155) (← links)
- Comments on ``Data science, big data and statistics'' (Q2273156) (← links)
- Projection sparse principal component analysis: an efficient least squares method (Q2274951) (← links)
- Quasi-Bayesian estimation of large Gaussian graphical models (Q2274970) (← links)
- Testing Gaussian process with applications to super-resolution (Q2278467) (← links)
- Prediction and estimation consistency of sparse multi-class penalized optimal scoring (Q2278663) (← links)
- Network classification with applications to brain connectomics (Q2281212) (← links)
- Physics informed topology learning in networks of linear dynamical systems (Q2288709) (← links)
- Lasso meets horseshoe: a survey (Q2292393) (← links)
- Certifiably optimal sparse principal component analysis (Q2293653) (← links)
- On integer and MPCC representability of affine sparsity (Q2294300) (← links)
- Feature selection in SVM via polyhedral \(k\)-norm (Q2300635) (← links)
- Inference in partially identified models with many moment inequalities using Lasso (Q2301088) (← links)
- Sparsity in optimal randomized classification trees (Q2301963) (← links)
- Regularized estimation for highly multivariate log Gaussian Cox processes (Q2302515) (← links)
- Discriminant analysis for discrete variables derived from a tree-structured graphical model (Q2303052) (← links)
- Special feature: Information theory and statistics (Q2303490) (← links)
- High-dimensional change-point detection under sparse alternatives (Q2313279) (← links)
- Critical behavior and universality classes for an algorithmic phase transition in sparse reconstruction (Q2316055) (← links)
- Tuning parameter calibration for \(\ell_1\)-regularized logistic regression (Q2317308) (← links)
- Sparse approximate solutions to stochastic Galerkin equations (Q2317495) (← links)
- Multiclass analysis and prediction with network structured covariates (Q2325271) (← links)
- Localized Gaussian width of \(M\)-convex hulls with applications to Lasso and convex aggregation (Q2325349) (← links)
