Conditional-Value-at-Risk Estimation via Reduced-Order Models
From MaRDI portal
Publication:4611521
DOI10.1137/17M1160069zbMath1405.35263MaRDI QIDQ4611521
Karen Willcox, Matthias Heinkenschloss, Timur Takhtaganov, Boris Kramer
Publication date: 21 January 2019
Published in: SIAM/ASA Journal on Uncertainty Quantification (Search for Journal in Brave)
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Related Items (8)
Wasserstein Sensitivity of Risk and Uncertainty Propagation ⋮ Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization ⋮ Context-Aware Surrogate Modeling for Balancing Approximation and Sampling Costs in Multifidelity Importance Sampling and Bayesian Inverse Problems ⋮ Optimal Neumann Boundary Control of a Vibrating String with Uncertain Initial Data and Probabilistic Terminal Constraints ⋮ A Multifidelity Quantile-Based Approach for Confidence Sets of Random Excursion Sets with Application to Ice-Sheet Dynamics ⋮ Adaptive Reduced-Order Model Construction for Conditional Value-at-Risk Estimation ⋮ An Interior-Point Approach for Solving Risk-Averse PDE-Constrained Optimization Problems with Coherent Risk Measures ⋮ An Efficient, Globally Convergent Method for Optimization Under Uncertainty Using Adaptive Model Reduction and Sparse Grids
Cites Work
- Unnamed Item
- Unnamed Item
- An efficient surrogate-based method for computing rare failure probability
- Controlled stratification for quantile estimation
- Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models
- An adaptive local reduced basis method for solving PDEs with uncertain inputs and evaluating risk
- Algorithms and analyses for stochastic optimization for turbofan noise reduction using parallel reduced-order modeling
- Multifidelity importance sampling
- Nonlinear Model Reduction via Discrete Empirical Interpolation
- Multifidelity Preconditioning of the Cross-Entropy Method for Rare Event Simulation and Failure Probability Estimation
- Confidence intervals for quantiles when applying variance-reduction techniques
- Monte Carlo Methods for Value-at-Risk and Conditional Value-at-Risk
- Optimization of Convex Risk Functions
This page was built for publication: Conditional-Value-at-Risk Estimation via Reduced-Order Models