The seventy-eighth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, November 14, 2024. 2–3 PM — Botond Szabo (Bocconi University, Department of Decision Sciences – BIDSA) — [slides] Uncertainty quantification and estimation with variational Gaussian Processes We study the theoretical properties of a variational Bayes method in the […]
The seventy-seventh UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 31, 2024. 2–3 PM — Nadège Polette (Mines Paris PSL – CEA DAM DIF) — [slides] Mitigating Overconfidence in Bayesian Field Inversion thanks to Hyperparameters Sampling The objective of Bayesian field inversion is to approximate the posterior […]
The seventy-sixth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 17, 2024. 4–5 PM — Habib Najm (Sandia National Laboratories) — [slides] Uncertainty Quantification in Computational Combustion Models Uncertainty quantification (UQ) in large scale computational combustion models faces key challenges of high dimensionality and computational cost. These […]
The seventy-fifth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, October 3, 2024. 2–3 PM — Olivier Laurent (SATIE, Université Paris-Saclay – U2IS, ENSTA) — [slides] A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors The distribution of modern deep neural networks (DNNs) weights — crucial for uncertainty quantification […]
The seventy-fourth UQSay seminar on UQ, DACE and related topics will take place online on Thursday afternoon, September 19, 2024. 3–4 PM — Alexander Terenin (Cornell University) — [slides] Sampling from Gaussian Process Posteriors using Stochastic Gradient Descent The ability to deploy Gaussian-process-based decision-making systems such as Bayesian optimization at scale has traditionally been limited […]
