Pages that link to "Item:Q5405257"
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The following pages link to Stochastic Dual Coordinate Ascent Methods for Regularized Loss Minimization (Q5405257):
Displaying 50 items.
- Cocoercivity, smoothness and bias in variance-reduced stochastic gradient methods (Q2674579) (← links)
- Variance reduction for root-finding problems (Q2689823) (← links)
- Accelerated stochastic variance reduction for a class of convex optimization problems (Q2696969) (← links)
- Optimization in high dimensions via accelerated, parallel, and proximal coordinate descent (Q2832112) (← links)
- Adaptive Sampling for Incremental Optimization Using Stochastic Gradient Descent (Q2835640) (← links)
- Stochastic Block Mirror Descent Methods for Nonsmooth and Stochastic Optimization (Q2954396) (← links)
- A Randomized Coordinate Descent Method with Volume Sampling (Q3300772) (← links)
- A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments (Q3304857) (← links)
- Differentially Private Distributed Learning (Q3386798) (← links)
- Accelerated, Parallel, and Proximal Coordinate Descent (Q3449571) (← links)
- The Cyclic Block Conditional Gradient Method for Convex Optimization Problems (Q3449572) (← links)
- An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization (Q3451763) (← links)
- Distributed Block Coordinate Descent for Minimizing Partially Separable Functions (Q3462314) (← links)
- (Q4558169) (← links)
- Nonasymptotic convergence of stochastic proximal point algorithms for constrained convex optimization (Q4558525) (← links)
- (Q4558550) (← links)
- (Q4558559) (← links)
- (Q4558562) (← links)
- (Q4558572) (← links)
- A new filter‐based stochastic gradient algorithm for dual‐rate ARX models (Q4562532) (← links)
- (Q4583459) (← links)
- Optimizing Adaptive Importance Sampling by Stochastic Approximation (Q4584930) (← links)
- A Randomized Nonmonotone Block Proximal Gradient Method for a Class of Structured Nonlinear Programming (Q4596724) (← links)
- Avoiding Communication in Primal and Dual Block Coordinate Descent Methods (Q4613501) (← links)
- Improved asynchronous parallel optimization analysis for stochastic incremental methods (Q4614129) (← links)
- (Q4633055) (← links)
- Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization (Q4636997) (← links)
- (Q4637034) (← links)
- A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization (Q4637039) (← links)
- (Q4637040) (← links)
- (Q4637046) (← links)
- Linear Coupling: An Ultimate Unification of Gradient and Mirror Descent (Q4638051) (← links)
- On the complexity of parallel coordinate descent (Q4638927) (← links)
- Surpassing Gradient Descent Provably: A Cyclic Incremental Method with Linear Convergence Rate (Q4641666) (← links)
- Optimization Methods for Large-Scale Machine Learning (Q4641709) (← links)
- A Coordinate-Descent Primal-Dual Algorithm with Large Step Size and Possibly Nonseparable Functions (Q4646445) (← links)
- Random Gradient Extrapolation for Distributed and Stochastic Optimization (Q4687240) (← links)
- On the Complexity Analysis of the Primal Solutions for the Accelerated Randomized Dual Coordinate Ascent (Q4969070) (← links)
- (Q4969167) (← links)
- (Q4969178) (← links)
- (Q4999081) (← links)
- A stochastic alternating direction method of multipliers for non-smooth and non-convex optimization (Q5002572) (← links)
- Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
- (Q5054622) (← links)
- Tensor Canonical Correlation Analysis With Convergence and Statistical Guarantees (Q5066457) (← links)
- Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization (Q5076671) (← links)
- A New Homotopy Proximal Variable-Metric Framework for Composite Convex Minimization (Q5076711) (← links)
- On the Convergence of Stochastic Primal-Dual Hybrid Gradient (Q5081780) (← links)
- Sketched Newton--Raphson (Q5093644) (← links)
- On the Efficiency of Random Permutation for ADMM and Coordinate Descent (Q5108265) (← links)
