restricted strong convexity

Optimization for Neural Operators can Benefit from Width ICML 2025 Convergence for nonconvex ADMM, with applications to CT imaging JMLR 2024 Restricted Strong Convexity of Deep Learning Models with Smooth Activations ICLR 2023 On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Tree-projected gradient descent for estimating gradient-sparse parameters on graphs COLT 2020 Error bounds for sparse classifiers in high-dimensions AISTATS 2019 Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds NeurIPS 2018 On Approximation Guarantees for Greedy Low Rank Optimization ICML 2017 Unified View of Matrix Completion under General Structural Constraints NeurIPS 2015 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 Regularized M-estimators with nonconvexity: Statistical and algorithmic theory for local optima NeurIPS 2013 Restricted Strong Convexity and Weighted Matrix Completion: Optimal Bounds with Noise JMLR 2012 A unified framework for high-dimensional analysis of M-estimators with decomposable regularizers NeurIPS 2009