Pages that link to "Item:Q2020608"
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The following pages link to Generalized stochastic Frank-Wolfe algorithm with stochastic ``substitute'' gradient for structured convex optimization (Q2020608):
Displaying 9 items.
- Fast and scalable Lasso via stochastic Frank-Wolfe methods with a convergence guarantee (Q331671) (← links)
- Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization (Q4989938) (← links)
- Frank--Wolfe Methods with an Unbounded Feasible Region and Applications to Structured Learning (Q5055686) (← links)
- FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank–Wolfe Algorithms and Conditional Gradients (Q5058004) (← links)
- Analysis of the Frank-Wolfe method for convex composite optimization involving a logarithmically-homogeneous barrier (Q6038640) (← links)
- No-regret dynamics in the Fenchel game: a unified framework for algorithmic convex optimization (Q6126650) (← links)
- Inexact and stochastic generalized conditional gradient with augmented Lagrangian and proximal step (Q6567225) (← links)
- Using Taylor-approximated gradients to improve the Frank-Wolfe method for empirical risk minimization (Q6579995) (← links)
- A sequential quadratic programming method with high-probability complexity bounds for nonlinear equality-constrained stochastic optimization (Q6663117) (← links)
