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Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Scalable deep learning: using parallel algorithms and HPC systems to train large models on big data set
Presenter
- Brian Van Essen
September 17, 2018
IPAM
School of Math Ordway Distinguished Lecture: Applied Random Matrix Theory
Presenter
- Joel Tropp
April 23, 2018
IMA
Scalable algorithms for kernel-based surrogates in prediction and optimization
Presenter
- David Bindel
November 1, 2017
IPAM
Scalable and efficient multicanonical algorithms for first-principles based Monte Carlo simulations
Presenter
- Ying Li
October 2, 2017
IPAM
Scalable approximations for A- and D-optimal OED in data assimilation problems
Presenter
- Tan Bui-Thanh
September 8, 2017
IMA
Scalable methods for optimal control of PDEs with random coefficient fields
Presenter
- Omar Ghattas
May 25, 2017
IPAM
Scattering control and inverse problem for the wave equation with piecewise smooth wave speeds
Presenter
- Maarten De Hoop
May 1, 2017
IPAM