The following pages link to Wotao Yin (Q256033):
Displaying 50 items.
- On the convergence of decentralized gradient descent (Q2821798) (← links)
- Improved iteratively reweighted least squares for unconstrained smoothed \(\ell_q\) minimization (Q2840384) (← links)
- Augmented \(\ell_1\) and nuclear-norm models with a globally linearly convergent algorithm (Q2873229) (← links)
- A block coordinate descent method for regularized multiconvex optimization with applications to nonnegative tensor factorization and completion (Q2873262) (← links)
- A new detail-preserving regularization scheme (Q2876844) (← links)
- A fast hybrid algorithm for large-scale \(l_{1}\)-regularized logistic regression (Q2896051) (← links)
- On the convergence of an active-set method for ℓ<sub>1</sub>minimization (Q2905351) (← links)
- Fast algorithms for image reconstruction with application to partially parallel MR imaging (Q2912263) (← links)
- Block Stochastic Gradient Iteration for Convex and Nonconvex Optimization (Q2945126) (← links)
- A Fast Algorithm for Sparse Reconstruction Based on Shrinkage, Subspace Optimization, and Continuation (Q2998011) (← links)
- Analysis and Generalizations of the Linearized Bregman Method (Q3052954) (← links)
- Fixed-Point Continuation Applied to Compressed Sensing: Implementation and Numerical Experiments (Q3071331) (← links)
- Parametric Maximum Flow Algorithms for Fast Total Variation Minimization (Q3162127) (← links)
- A New Alternating Minimization Algorithm for Total Variation Image Reconstruction (Q3183365) (← links)
- A Curvilinear Search Method for <i>p</i>-Harmonic Flows on Spheres (Q3183382) (← links)
- A Fast Algorithm for Edge-Preserving Variational Multichannel Image Restoration (Q3183398) (← links)
- Fixed-Point Continuation for $\ell_1$-Minimization: Methodology and Convergence (Q3395007) (← links)
- An Efficient TVL1 Algorithm for Deblurring Multichannel Images Corrupted by Impulsive Noise (Q3581071) (← links)
- Trust, But Verify: Fast and Accurate Signal Recovery From 1-Bit Compressive Measurements (Q4573298) (← links)
- Decentralized Jointly Sparse Optimization by Reweighted $\ell_{q}$ Minimization (Q4578428) (← links)
- On the Linear Convergence of the ADMM in Decentralized Consensus Optimization (Q4579106) (← links)
- A Proximal Gradient Algorithm for Decentralized Composite Optimization (Q4580911) (← links)
- NuMax: A Convex Approach for Learning Near-Isometric Linear Embeddings (Q4580922) (← links)
- On Nonconvex Decentralized Gradient Descent (Q4622169) (← links)
- Extrapush for Convex Smooth Decentralized Optimization Over Directed Networks (Q4688137) (← links)
- First- and Second-Order Methods for Online Convolutional Dictionary Learning (Q4689772) (← links)
- Edge Guided Reconstruction for Compressive Imaging (Q4902144) (← links)
- Zeroth-Order Regularized Optimization (ZORO): Approximately Sparse Gradients and Adaptive Sampling (Q5072595) (← links)
- Wasserstein-Based Projections with Applications to Inverse Problems (Q5074785) (← links)
- Large-Scale Convex Optimization (Q5097614) (← links)
- Walkman: A Communication-Efficient Random-Walk Algorithm for Decentralized Optimization (Q5102791) (← links)
- Decentralized Accelerated Gradient Methods With Increasing Penalty Parameters (Q5103036) (← links)
- Decentralized Learning With Lazy and Approximate Dual Gradients (Q5103404) (← links)
- Proximal-Proximal-Gradient Method (Q5127589) (← links)
- Multilevel Optimal Transport: A Fast Approximation of Wasserstein-1 Distances (Q5147991) (← links)
- (Q5210190) (← links)
- Consistent Dynamic Mode Decomposition (Q5238245) (← links)
- EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization (Q5254995) (← links)
- Cyclic Coordinate-Update Algorithms for Fixed-Point Problems: Analysis and Applications (Q5348257) (← links)
- Introduction (Q5350473) (← links)
- Convergence Rate Analysis of Several Splitting Schemes (Q5350476) (← links)
- Self Equivalence of the Alternating Direction Method of Multipliers (Q5350477) (← links)
- Nonconvex Sparse Regularization and Splitting Algorithms (Q5350479) (← links)
- Faster Convergence Rates of Relaxed Peaceman-Rachford and ADMM Under Regularity Assumptions (Q5359120) (← links)
- (Q5371189) (← links)
- Redundancy Techniques for Straggler Mitigation in Distributed Optimization and Learning (Q5381126) (← links)
- Bregman Iterative Algorithms for $\ell_1$-Minimization with Applications to Compressed Sensing (Q5453521) (← links)
- The Total Variation Regularized $L^1$ Model for Multiscale Decomposition (Q5454233) (← links)
- Second-order Cone Programming Methods for Total Variation-Based Image Restoration (Q5470334) (← links)
- Variational, Geometric, and Level Set Methods in Computer Vision (Q5493283) (← links)
