Plenary Speakers
We are delighted that the following researchers have agreed to give plenary talks:
- Andrea Barth (University of Stuttgart):
Uncertainty quantification with discontinuous random fields
- Dmitriy Bilyk (University of Minnesota):
On some problems of L. Fejes Toth about point distributions on the sphere
- Michael Feischl (Vienna University of Technology):
A quasi-Monte Carlo data compression algorithm for machine learning
- Mike Giles (University of Oxford):
MLMC techniques for discontinuous functions
- Andrea Montanari (Stanford University):
Sampling via stochastic localization
- Erich Novak (Friedrich Schiller University Jena):
Optimal algorithms for numerical integration: recent results and open problems
- Ian H. Sloan (University of New South Wales):
Periodicity oils the wheels - periodicity, QMC and uncertainty quantification
- Gabriel Stoltz (CERMICS / Ecole des Ponts):
Error estimates and variance reduction for nonequilibrium stochastic dynamics
- Aretha Teckentrup (University of Edinburgh):
Gaussian process regression in inverse problems and Markov chain Monte Carlo
