Some presentation slides

• Gaussian processes with inequality constraints: theory and computation (2024) [pdf]
• Improved learning theory for kernel distribution regression with two-stage sampling (2023) [pdf]
• Valid confidence intervals post-model-selection (2023) [pdf]
• Posterior contraction rates for constrained deep Gaussian processes in density estimation (2022) [pdf]
• Packing-based algorithms for instance-dependent error bounds in optimization and level set estimation (2022) [pdf]
• Variance reduction for estimation of Shapley effects and adaptation to unknown input distribution (2022) [pdf]
• The sample complexity of level set approximation (2021) [pdf]
• Gaussian processes under inequality constraints: sequential construction and dimension reduction (2020) [pdf]
• Valid confidence intervals post-model-selection (2020) [pdf]
• Spatial blind source separation (2019) [pdf]
• A 3 hour course: advances in Gaussian processes (2019) [pdf]
• Gaussian processes under constraints (2019) [pdf]
• Uniformly valid confidence intervals post-model selection (2017) [pdf]
• Consistency of stepwise uncertainty reduction strategies for Gaussian processes (2017) [pdf]
• Valid confidence intervals for post-model-selection predictors (2016) [pdf]
• Nested Kriging prediction for large data sets (2016) [pdf]
• Lecture on model calibration and validation (2016) [pdf]
• A case study on Gaussian process modeling of computer experiments (2016) [pdf]
• Asymptotic analysis of covariance function estimation in the misspecified case (2016) [pdf]
• Multivariate tapering (2015) [pdf]
• Valid post-model-selection confidence intervals (2015) [pdf]
• Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes (2014) [pdf] [pdf]
• Maximum Likelihood and Cross Validation for covariance parameters estimation (2013) [pdf] [pdf]
• Covariance function estimation in Gaussian process regression (2015) [pdf]
• Introduction to Gaussian-process based Kriging models for metamodeling and validation of computer codes (2014) [pdf]
• Computer model validation - Cross Validation for hyper-parameter estimation (2012) [pdf]
• Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification (2012) [pdf]
• Gaussian processes for code validation (2012) [pdf] [pdf]
• Bayesian calibration of numerical models using Gaussian processes (2011) [pdf] [pdf]

Some posters

• Kriging models with Gaussian processes - covariance function estimation and impact of spatial sampling (2014) [pdf]
• Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification (2012) [pdf]
• Virtual Cross Validation for numerical models calibration (2011) [pdf]