François Bachoc
Orcid: 0000-0001-5336-5714
According to our database1,
François Bachoc
authored at least 37 papers
between 2013 and 2024.
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Bibliography
2024
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling.
Trans. Mach. Learn. Res., 2024
funGp: An <i>R</i> Package for Gaussian Process Regression with Scalar and Functional Inputs.
J. Stat. Softw., 2024
2023
Mach. Learn., November, 2023
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates.
Stat. Comput., October, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints.
SIAM J. Math. Data Sci., June, 2022
Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment.
Reliab. Eng. Syst. Saf., 2022
Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis.
SIAM/ASA J. Uncertain. Quantification, 2022
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
SIAM/ASA J. Uncertain. Quantification, 2021
Bayesian regression and classification using Gaussian process priors indexed by probability density functions.
Inf. Sci., 2021
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Gaussian process metamodeling of functional-input code for coastal flood hazard assessment.
Reliab. Eng. Syst. Saf., 2020
Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution.
SIAM/ASA J. Uncertain. Quantification, 2020
J. Glob. Optim., 2020
Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment.
CoRR, 2020
2019
Composite likelihood estimation for a Gaussian process under fixed domain asymptotics.
J. Multivar. Anal., 2019
SIAM/ASA J. Uncertain. Quantification, 2019
Rate of convergence for geometric inference based on the empirical Christoffel function.
CoRR, 2019
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC.
CoRR, 2019
Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions.
Proceedings of the PRICAI 2019: Trends in Artificial Intelligence, 2019
2018
IEEE Trans. Inf. Theory, 2018
Stat. Comput., 2018
SIAM/ASA J. Uncertain. Quantification, 2018
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning.
CoRR, 2018
2017
J. Multivar. Anal., 2017
Adv. Comput. Math., 2017
2016
J. Multivar. Anal., 2016
2014
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes.
J. Multivar. Anal., 2014
2013
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification.
Comput. Stat. Data Anal., 2013