Vincenzo Abete
MSG Design of Experiments Seminar Series: Mutual Information for Computer Experiments (MICE): design, optimization, and data assimilation: applications to tsunami hazard
MSG Design of Experiments Seminar Series: Simulation-based Bayesian experimental design for computationally intensive models
MSG Design of Experiments Seminar Series: The war against bias: experimental design for big data
GOAL-ORIENTED ERROR ESTIMATION FOR PARAMETER-DEPENDENT NONLINEAR PROBLEMS, APPLICATION TO SENSITIVITY ANALYSIS
UQ: does it require efficient linear algebra?
Balanced model order reduction for linear systems driven by Lévy noise
A Bayesian Composite Gaussian Process Model and its Application
Consistency of stepwise uncertainty reduction strategies for Gaussian processes
Parameter estimation in parametric pdes
Three of eleven topics on my mind : "Choose your own adventure"
Bayesian quadrature, energy minimization and kernel herding for space filling design
Bayesian model calibration for generalized linear models: An application in radiation transport
Computer model calibration with large nonstationary spatial outputs: application to the calibration of a climate model
On the Convergence of Laplace's Approximation and Its Implications for Bayesian Computation
Bayesian calibration, history matching and model discrepancy
Deep Gaussian Process Priors for Bayesian Inverse Problems
Modes of posterior measure for Bayesian inverse problems with a class of non-Gaussian priors
Joint-sparse recovery for high-dimensional parametric PDEs
Experimental Design for Prediction of Physical System Means Using Calibrated Computer Simulators
Parameter inference, model error and the goals of calibration
Large Graph Limits of Learning Algorithms
Experimental Design for Inverse Modelling: From Real to Virtual and Back
Quantifying and reducing uncertainties on sets under Gaussian Process priors
Inverting the Pareto Boundary: Bayes linear decision support with a soft constraint
Smooth metamodels
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