Robust Regression and Lasso
From MaRDI portal
Publication:5281421
DOI10.1109/TIT.2010.2048503zbMath1366.62147OpenAlexW2117173631MaRDI QIDQ5281421
Huan Xu, Shie Mannor, Constantine Caramanis
Publication date: 27 July 2017
Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1109/tit.2010.2048503
Density estimation (62G07) Ridge regression; shrinkage estimators (Lasso) (62J07) Quadratic programming (90C20) Sensitivity, stability, parametric optimization (90C31)
Related Items
Calibration of Distributionally Robust Empirical Optimization Models, A survey of nonlinear robust optimization, Regularization via Mass Transportation, Oracle-Based Robust Optimization via Online Learning, Robust grouped variable selection using distributionally robust optimization, Robust linear classification from limited training data, Inseparable robust reward-risk optimization models with distribution uncertainty, The backbone method for ultra-high dimensional sparse machine learning, A dual semismooth Newton based augmented Lagrangian method for large-scale linearly constrained sparse group square-root Lasso problems, Mitigating robust overfitting via self-residual-calibration regularization, Robustness and generalization, Adapting to unknown noise level in sparse deconvolution, Certifiably optimal sparse inverse covariance estimation, On the role of norm constraints in portfolio selection, Online First-Order Framework for Robust Convex Optimization, Experimental Analysis of the Accessibility of Drawings with Few Segments, A look at robustness and stability of \(\ell_1\)-versus \(\ell_0\)-regularization: discussion of papers by Bertsimas et al. and Hastie et al., Ambulance Emergency Response Optimization in Developing Countries, RSG: Beating Subgradient Method without Smoothness and Strong Convexity, Robust regression estimation and variable selection when cellwise and casewise outliers are present, Recent advances in robust optimization: an overview, Robust Optimization in Non-Linear Regression for Speech and Video Quality Prediction in Mobile Multimedia Networks, Unnamed Item, Nonconvex robust programming via value-function optimization, Characterization of the equivalence of robustification and regularization in linear and matrix regression, Robust generalized eigenvalue classifier with ellipsoidal uncertainty, Conditional variance penalties and domain shift robustness, Variance Regularization in Sequential Bayesian Optimization, Statistical Optimization in High Dimensions, Robust Wasserstein profile inference and applications to machine learning, Data scarcity, robustness and extreme multi-label classification, Distributionally robust optimization. A review on theory and applications, Unnamed Item, Unnamed Item, A Lasso-type Robust Variable Selection for Time-Course Microarray Data