Pages that link to "Item:Q2044475"
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The following pages link to A stochastic subspace approach to gradient-free optimization in high dimensions (Q2044475):
Displaying 11 items.
- Zeroth-order algorithms for stochastic distributed nonconvex optimization (Q2151863) (← links)
- Manifold learning for accelerating coarse-grained optimization (Q2194441) (← links)
- A dimensionality reduction technique for unconstrained global optimization of functions with low effective dimensionality (Q5073888) (← links)
- Scalable subspace methods for derivative-free nonlinear least-squares optimization (Q6038650) (← links)
- Zeroth-order optimization with orthogonal random directions (Q6038668) (← links)
- Direct Search Based on Probabilistic Descent in Reduced Spaces (Q6071887) (← links)
- Optimization by moving ridge functions: derivative-free optimization for computationally intensive functions (Q6094491) (← links)
- Global optimization using random embeddings (Q6160282) (← links)
- Global solutions to nonconvex problems by evolution of Hamilton-Jacobi PDEs (Q6575280) (← links)
- Expected decrease for derivative-free algorithms using random subspaces (Q6622391) (← links)
- Stochastic zeroth order descent with structured directions (Q6642789) (← links)
