15th International Conference on
Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing

Linz, July 17-22, 2022

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
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