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Projected Stein variational methods for high-dimensional Bayesian inversion constrained by large-scale PDEs
Presenter
- Peng Chen
April 21, 2020
IPAM
Learning optimal strategies for line-of-sight based games
Presenter
- Richard Tsai
March 31, 2020
IPAM
Machine learning approaches for a few optimization problems involving lines-of-sight
Presenter
- Richard Tsai
May 2, 2019
IPAM
Scalable algorithms for optimal experimental design for large-scale Bayesian inverse problems governed by complex models
Presenter
- Omar Ghattas
October 18, 2018
IPAM
Learning Sparse High-Dimensional Governing Equations from Limited Data
Presenter
- Rachel Ward
October 17, 2018
IPAM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition
Presenter
- Karen Willcox
October 15, 2018
IPAM
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Multi-fidelity approaches: Fusing models and data to achieve efficient design, optimization and uncertainty quantification
Presenter
- Karen Willcox
September 18, 2018
IPAM
Model order reduction: Approximate yet accurate surrogates for large-scale simulation
Presenter
- Karen Willcox
September 17, 2018
IPAM
