Pages that link to "Item:Q2832112"
From MaRDI portal
The following pages link to Optimization in high dimensions via accelerated, parallel, and proximal coordinate descent (Q2832112):
Displaying 18 items.
- Parallel coordinate descent methods for big data optimization (Q263212) (← links)
- A quasi-Newton acceleration for high-dimensional optimization algorithms (Q692972) (← links)
- Stochastic subspace correction in Hilbert space (Q1615986) (← links)
- A stochastic subspace approach to gradient-free optimization in high dimensions (Q2044475) (← links)
- Variational analysis perspective on linear convergence of some first order methods for nonsmooth convex optimization problems (Q2070400) (← links)
- Linear convergence of prox-SVRG method for separable non-smooth convex optimization problems under bounded metric subregularity (Q2115253) (← links)
- High-dimensional optimization and probability. With a view towards data science (Q2139903) (← links)
- Block-proximal methods with spatially adapted acceleration (Q2323015) (← links)
- Coordinate descent algorithms (Q2349114) (← links)
- A block symmetric Gauss-Seidel decomposition theorem for convex composite quadratic programming and its applications (Q2414911) (← links)
- A framework for parallel second order incremental optimization algorithms for solving partially separable problems (Q2419531) (← links)
- Distributed coordinate descent method for learning with big data (Q2810888) (← links)
- A Randomized Coordinate Descent Method with Volume Sampling (Q3300772) (← links)
- Quickly Finding the Best Linear Model in High Dimensions via Projected Gradient Descent (Q5102625) (← links)
- Stochastic subspace correction methods and fault tolerance (Q5235100) (← links)
- Computing the Best Approximation over the Intersection of a Polyhedral Set and the Doubly Nonnegative Cone (Q5242932) (← links)
- Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution (Q6071888) (← links)
- Regularised semi-parametric composite likelihood intensity modelling of a Swedish spatial ambulance call point pattern (Q6655992) (← links)