Cover Image

Square Root LASSO: Well-posedness, Lipschitz stability and the tuning trade off

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Berk, Aaron, Brugiapaglia, Simone, Hoheisel, Tim
Format:	Preprint
Published:	2023
Subjects:	Optimization and Control Signal Processing Applications 49J53, 62J07, 90C25, 94A12, 94A20
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Utilizing Multiple Testing for Grouping in Singular Spectrum Analysis
by: Movahedifar, Maryam, et al.
Published: (2024)

Value of Information in the Mean-Square Case and its Application to the Analysis of Financial Time-Series Forecast
by: Belavkin, Roman, et al.
Published: (2024)

Markov chain entropy games and the geometry of their Nash equilibria
by: Choi, Michael C. H., et al.
Published: (2023)

Lipschitz stability of least-squares problems regularized by functions with $\mathcal{C}^2$-cone reducible conjugates
by: Cui, Ying, et al.
Published: (2024)

Information-theoretic minimax and submodular optimization algorithms for multivariate Markov chains
by: Lai, Zheyuan, et al.
Published: (2025)

Global convergence of the subgradient method for robust signal recovery
by: Cai, Zesheng, et al.
Published: (2026)

Entropic continuity bounds for conditional covariances with applications to Schr\" odinger and Sinkhorn bridges
by: Del Moral, Pierre
Published: (2025)

Symplectic Generative Networks (SGNs): A Hamiltonian Framework for Invertible Deep Generative Modeling
by: Aich, Agnideep, et al.
Published: (2025)

Learning pseudo-contractive denoisers for inverse problems
by: Wei, Deliang, et al.
Published: (2024)

An inexact proximal MM method for a class of nonconvex composite image reconstruction models
by: Li, Bujin, et al.
Published: (2024)

Asymptotic analysis of higher-order perturbations of the Perona--Malik functional
by: Braides, Andrea, et al.
Published: (2026)

Information-theoretic coordinate subset and partition selection of multivariate Markov chains via submodular optimization
by: Lai, Zheyuan, et al.
Published: (2025)

Denoising Hyperbolic-Valued Data by Relaxed Regularizations
by: Beinert, Robert, et al.
Published: (2024)

Denoising of Sphere- and SO(3)-Valued Data by Relaxed Tikhonov Regularization
by: Beinert, Robert, et al.
Published: (2023)

Denoising Sphere-Valued Data by Relaxed Total Variation Regularization
by: Beinert, Robert, et al.
Published: (2024)

Approximating $f$-Divergences with Rank Statistics
by: Stein, Viktor, et al.
Published: (2026)

Reciprocal Convex Costs for Ratio Matching: Functional-Equation Characterization and Decision Geometry
by: Washburn, Jonathan, et al.
Published: (2026)

Robustness of Covariance Estimators with Application in Activity Detection
by: Zarucha, Hendrik Bernd, et al.
Published: (2025)

Discrete approximations and optimality conditions for integro-differential inclusions
by: Bouach, Abderrahim, et al.
Published: (2024)

Geometric characterizations of Lipschitz stability for convex optimization problems
by: Nghia, Tran T. A.
Published: (2024)

SDR Common View on Generic Signals for Time Transfer Applications
by: Pollastri, Fabrizio
Published: (2024)

An entropy formula for the Deep Linear Network
by: Menon, Govind, et al.
Published: (2025)

Lipschitz-regularized gradient flows and generative particle algorithms for high-dimensional scarce data
by: Gu, Hyemin, et al.
Published: (2022)

Optimal Inference for Distributed Detection
by: Akofor, Earnest
Published: (2016)

The Theorems of Dr. David Blackwell and Their Contributions to Artificial Intelligence
by: Paxton, Napoleon
Published: (2026)

Optimal quantization with branched optimal transport distances
by: Pegon, Paul, et al.
Published: (2023)

Denoising Multi-Color QR Codes and Stiefel-Valued Data by Relaxed Regularizations
by: Beinert, Robert, et al.
Published: (2025)

Information-theoretic classification of the cutoff phenomenon in Markov processes
by: Wang, Youjia, et al.
Published: (2024)

Sparse Bayesian Learning for Label Efficiency in Cardiac Real-Time MRI
by: Terhag, Felix, et al.
Published: (2025)

A Note on Extension Properties and Representations of Matroids
by: Bamiloshin, Michael, et al.
Published: (2023)

Estimation of Spatial and Temporal Autoregressive Effects using LASSO - An Example of Hourly Particulate Matter Concentrations
by: Nyabuto, Elkanah, et al.
Published: (2025)

Group-averaged Markov chains II: tuning of group action in finite state space
by: Choi, Michael C. H., et al.
Published: (2025)

Optimising two-block averaging kernels to speed up Markov chains
by: Lim, Ryan J. Y., et al.
Published: (2026)

On additive averaging kernels for finite Markov chains
by: Lim, Ryan J. Y., et al.
Published: (2026)

Information-Based Martingale Optimal Transport
by: Kassis, Georges, et al.
Published: (2024)

A mirror inertial forward-reflected-backward splitting: Global convergence and linesearch extension beyond convexity and Lipschitz smoothness
by: Wang, Ziyuan, et al.
Published: (2022)

Learning-based Multiuser Beamforming for Holographic MIMO~Systems
by: Chen, Shiyong, et al.
Published: (2025)

Stable Recovery of Regularized Linear Inverse Problems
by: Nghia, Tran T. A., et al.
Published: (2024)

Relative Lipschitz-like property of parametric systems via projectional coderivative
by: Yao, Wenfang, et al.
Published: (2022)

Solving Indefinite Quadratic Programs by Dynamical Systems: Preliminary Investigations
by: Pappalardo, Massimo, et al.
Published: (2025)