Scientific: Home | Plenaries | Tutorials | Key dates | Program
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Now its over: Proceedings | Contest results | Plenary + Tutorial slides | Photos
Tutorial slides (in order of presentation)
| Pierre L'Ecuyer | Introduction to (randomized) quasi-Monte Carlo |
| Fred Hickernell | Error Analysis for Quasi-Monte Carlo Methods |
| Frances Kuo | Application of QMC to PDEs with random coefficients |
Plenary speaker slides (alphabetical)
| Christoph Aistleitner | 100 Years of Uniform Distribution Theory: Hermann Weyl's Seminal Paper of 1916 |
| Jose Blanchet | Monte Carlo methods for spatial extremes |
| Nicolas Chopin | Sequential QMC: extensions and new applications (up to infinite dimension) |
| Arnaud Doucet | Pseudo-marginal MCMC methods for inference in latent variable models |
| Peter Frazier | Bayesian Optimization in the Tech Sector: Experienes at Uber, Yelp, SigOpt |
| Michael Jordan | A Variational Perspective on Accelerated Methods in Optimization |
| Frances Kuo | Hot new directions for QMC research in step with applications |
| Christiane Lemieux | Dependence sampling and quasi-random numbers |
| Dirk Nuyens | Lattice rules and beyond | Matlab |
| Andrew Stuart | Hierarchical Bayesian Inversion |
Contact: mcqmc2016@stanford.edu URL: mcqmc2016.stanford.edu
