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Low-rank tensor methods for simulation, optimization and uncertainty quantification of parametric PDEs
Presenter
- Peter Benner
October 15, 2018
IPAM
Learning low-dimensional models: Nonlinear model reduction via lifting transformations and proper orthogonal decomposition
Presenter
- Karen Willcox
October 15, 2018
IPAM
Probabilistic data fusion and physics-informed machine learning: A new paradigm for modeling and computation under uncertainty
Presenter
- Paris Perdikaris
September 28, 2018
IPAM
Optimization Methods for Large Scale Distributed Deep Learning
Presenter
- Rio Yokota
September 28, 2018
IPAM
A Stochastic Generator of Global Monthly Wind Energy with Tukey g-and-h Autoregressive Processes
Presenter
- Marc Genton
September 28, 2018
IPAM
The Knockoffs Framework: New Statistical Tools for Replicable Selections
Presenter
- Emmanuel Candès
September 27, 2018
IPAM
Scalable algorithms for optimal training data for Bayesian inference of large scale models
Presenter
- Omar Ghattas
September 27, 2018
IPAM
Model Inversion and Data Assimilation for Decision-Making in an Uncertain but Data-Rich World
Presenter
- Mark Asch
September 27, 2018
IPAM
Randomized projection methods for reducing communication in matrix computations
Presenter
- Per-Gunnar Martinsson
September 26, 2018
IPAM
A Study of Clustering Techniques and Hierarchical Matrix Formats for Kernel Ridge Regression
Presenter
- Xiaoye Li
September 26, 2018
IPAM
Is non-convex optimization really hard? A couple of recent stories
Presenter
- Emmanuel Candès
September 26, 2018
IPAM