Pages that link to "Item:Q348754"

The following pages link to Low-rank separated representation surrogates of high-dimensional stochastic functions: application in Bayesian inference (Q348754):

Displaying 7 items.

• Polynomial meta-models with canonical low-rank approximations: numerical insights and comparison to sparse polynomial chaos expansions (Q727026) (← links)
• Surrogate modeling of high-dimensional problems via data-driven polynomial chaos expansions and sparse partial least square (Q2180429) (← links)
• Non-intrusive low-rank separated approximation of high-dimensional stochastic models (Q2449955) (← links)
• The Optimization Landscape for Fitting a Rank-2 Tensor with a Rank-1 Tensor (Q3176269) (← links)
• (Q4554157) (← links)
• Sparse low-rank separated representation models for learning from data (Q5243616) (← links)
• Stochastic Collocation Algorithms Using $l_1$-Minimization for Bayesian Solution of Inverse Problems (Q5254808) (← links)