Invited Presentations

Presentations from the Conference

Invited speakers, the prize speakers, minitutorials, and a selection of minisymposia presentations from the 2018 Conference on Uncertainty Quantification have been captured and are available as slides with synchronized audio. In addition there are PDF’s of the slides available for printing. View presentation slides with synchronized audio.

Plenary Speakers

Merlise A. Clyde, Duke University, USA
View Presentation: Model Uncertainty and Uncertainty Quantification

Omar Ghattas, The University of Texas at Austin, USA
View Presentation: Scalable Algorithms for PDE-constrained Optimization Under Uncertainty

Michael I. Jordan, University of California, Berkeley, USA
View Presentation: On Gradient-Based Optimization: Accelerated, Stochastic and Nonconvex

Fabio Nobile, Ecole Polytechnique Fédérale de Lausanne (EPFL), Switzerland
View Presentation: Multi-level and Multi-index Monte Carlo Methods in Practice

Sebastian Reich, Universität Potsdam, Germany and University of Reading, United Kingdom
View Presentation: Data Assimilation and Uncertainty Quantification — A Lagrangian Interacting Particle Perspective

Johannes O. Royset, Naval Postgraduate School, USA
View Presentation: Good and Bad Uncertainty: Consequences in UQ and Design

Ian H. Sloan, The University of New South Wales, Australia
View Presentation: A Contemporary View of High-dimensional Quasi Monte Carlo

Bin Yu, University of California, Berkeley, USA
View Presentation: Three Principles of Data Science: Predictability, Stability, and Computability

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