Scheduled presentations:

• Keynote Optimal Bayesian Experimental Design Using Stochastic Gradient Descent with Adaptive Sample Sizes
  *J. Beck (KFUPM), A. Carlon (RWTH Aachen University), R. Tempone (KAUST & RWTH Aachen University)
• Greedy Sampling in High Dimensions via the Polytope Division Method
  *E. Nielen (Eindhoven University of Technology), O. Tse (Eindhoven University of Technology), K. Veroy (Eindhoven University of Technology)
• Lengthscale-adaptivity in Gaussian process emulation with sparse grids
  *E. Addy (University of Edinburgh), J. Latz (University of Manchester), A. Teckentrup (University of Edinburgh)
• Multi-Index Stochastic Collocation for PDEs with Imperfect Solvers
  *B. Kent (CNR-IMATI), L. Tamellini (CNR-IMATI), M. Giacomini (Universitat Politècnica de Catalunya), A. Huerta (Universitat Politècnica de Catalunya)
• Sampling by Transport and the Approximation of Measures
  *A. Sagiv (NJIT)