The following pages link to (Q4969174):
Displaying 14 items.
- Global optimization for first order Markov random fields with submodular priors (Q967400) (← links)
- Generalized stochastic Frank-Wolfe algorithm with stochastic ``substitute'' gradient for structured convex optimization (Q2020608) (← links)
- A stochastic subgradient method for distributionally robust non-convex and non-smooth learning (Q2159458) (← links)
- Improved complexities for stochastic conditional gradient methods under interpolation-like conditions (Q2670499) (← links)
- Zeroth-order nonconvex stochastic optimization: handling constraints, high dimensionality, and saddle points (Q2696568) (← links)
- (Q4998943) (← links)
- FrankWolfe.jl: A High-Performance and Flexible Toolbox for Frank–Wolfe Algorithms and Conditional Gradients (Q5058004) (← links)
- Stochastic Conditional Gradient++: (Non)Convex Minimization and Continuous Submodular Maximization (Q5148398) (← links)
- Large-Scale Nonconvex Optimization: Randomization, Gap Estimation, and Numerical Resolution (Q6071888) (← links)
- A unified analysis of stochastic gradient‐free Frank–Wolfe methods (Q6092499) (← links)
- Distributed strategy selection: a submodular set function maximization approach (Q6110260) (← links)
- Stochastic Variance Reduction for DR-Submodular Maximization (Q6492081) (← links)
- Using Taylor-approximated gradients to improve the Frank-Wolfe method for empirical risk minimization (Q6579995) (← links)
- Online non-monotone diminishing return submodular maximization in the bandit setting (Q6631565) (← links)
