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ORCIDFrançois Bachoc
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2020 – today
- 2024
[j23]José Betancourt, François Bachoc, Thierry Klein, Déborah Idier, Jérémy Rohmer, Yves Deville:
funGp: An R Package for Gaussian Process Regression with Scalar and Functional Inputs. J. Stat. Softw. 109(5) (2024)- [j22]Julien Demange-Chryst, François Bachoc, Jérôme Morio, Timothé Krauth:
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling. Trans. Mach. Learn. Res. 2024 (2024) - [i14]Joachim Bona-Pellissier, François Malgouyres, François Bachoc:
Geometry-induced Implicit Regularization in Deep ReLU Neural Networks. CoRR abs/2402.08269 (2024) - [i13]François Bachoc, Nicolò Cesa-Bianchi, Tommaso Cesari, Roberto Colomboni:
Fair Online Bilateral Trade. CoRR abs/2405.13919 (2024) - [i12]François Bachoc, Tommaso Cesari, Roberto Colomboni:
A Contextual Online Learning Theory of Brokerage. CoRR abs/2407.01566 (2024) - 2023
- [j21]Joachim Bona-Pellissier
, François Bachoc, François Malgouyres:
Parameter identifiability of a deep feedforward ReLU neural network. Mach. Learn. 112(11): 4431-4493 (2023) - [j20]Julien Demange-Chryst, François Bachoc, Jérôme Morio:
Efficient estimation of multiple expectations with the same sample by adaptive importance sampling and control variates. Stat. Comput. 33(5): 103 (2023) - [c6]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. AISTATS 2023: 4986-5010 - [i11]Julien Demange-Chryst, François Bachoc, Jérôme Morio, Timothé Krauth:
Variational autoencoder with weighted samples for high-dimensional non-parametric adaptive importance sampling. CoRR abs/2310.09194 (2023) - 2022
- [j19]Baptiste Broto, François Bachoc, Laura Clouvel, Jean-Marc Martinez:
Block-Diagonal Covariance Estimation and Application to the Shapley Effects in Sensitivity Analysis. SIAM/ASA J. Uncertain. Quantification 10(1): 379-403 (2022) - [j18]Andrés F. López-Lopera, Déborah Idier, Jérémy Rohmer, François Bachoc:
Multioutput Gaussian processes with functional data: A study on coastal flood hazard assessment. Reliab. Eng. Syst. Saf. 218(Part): 108139 (2022) - [j17]François Bachoc, Andrés F. López-Lopera, Olivier Roustant:
Sequential Construction and Dimension Reduction of Gaussian Processes Under Inequality Constraints. SIAM J. Math. Data Sci. 4(2): 772-800 (2022) - [c5]Joachim Bona-Pellissier, François Malgouyres, François Bachoc:
Local Identifiability of Deep ReLU Neural Networks: the Theory. NeurIPS 2022 - [c4]Andrés F. López-Lopera, François Bachoc, Olivier Roustant:
High-dimensional Additive Gaussian Processes under Monotonicity Constraints. NeurIPS 2022 - [i10]Andrés F. López-Lopera, François Bachoc, Olivier Roustant:
High-dimensional additive Gaussian processes under monotonicity constraints. CoRR abs/2205.08528 (2022) - [i9]François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
A Near-Optimal Algorithm for Univariate Zeroth-Order Budget Convex Optimization. CoRR abs/2208.06720 (2022) - [i8]François Bachoc, Tommaso Cesari, Roberto Colomboni, Andrea Paudice:
Regret Analysis of Dyadic Search. CoRR abs/2209.00885 (2022) - [i7]François Bachoc, Louis Béthune, Alberto González-Sanz, Jean-Michel Loubes:
Gaussian Processes on Distributions based on Regularized Optimal Transport. CoRR abs/2210.06574 (2022) - 2021
- [j16]Anis Fradi, Yan Feunteun, Chafik Samir, M. Baklouti, François Bachoc, Jean-Michel Loubes:
Bayesian regression and classification using Gaussian process priors indexed by probability density functions. Inf. Sci. 548: 56-68 (2021) - [j15]Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez:
Gaussian Linear Approximation for the Estimation of the Shapley Effects. SIAM/ASA J. Uncertain. Quantification 9(3): 1132-1151 (2021) - [c3]François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz:
The Sample Complexity of Level Set Approximation. AISTATS 2021: 424-432 - [c2]François Bachoc, Tommaso Cesari, Sébastien Gerchinovitz:
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. NeurIPS 2021: 24180-24192 - [i6]François Bachoc, Tommaso Renato Cesari, Sébastien Gerchinovitz:
Instance-Dependent Bounds for Zeroth-order Lipschitz Optimization with Error Certificates. CoRR abs/2102.01977 (2021) - 2020
- [j14]François Bachoc, Céline Helbert, Victor Picheny:
Gaussian process optimization with failures: classification and convergence proof. J. Glob. Optim. 78(3): 483-506 (2020) - [j13]Baptiste Broto, François Bachoc, Marine Depecker:
Variance Reduction for Estimation of Shapley Effects and Adaptation to Unknown Input Distribution. SIAM/ASA J. Uncertain. Quantification 8(2): 693-716 (2020) - [j12]José Betancourt, François Bachoc, Thierry Klein, Déborah Idier, Rodrigo Pedreros, Jérémy Rohmer:
Gaussian process metamodeling of functional-input code for coastal flood hazard assessment. Reliab. Eng. Syst. Saf. 198: 106870 (2020) - [i5]Andrés F. López-Lopera, Déborah Idier, Jérémy Rohmer, François Bachoc:
Multi-Output Gaussian Processes with Functional Data: A Study on Coastal Flood Hazard Assessment. CoRR abs/2007.14052 (2020)
2010 – 2019
- 2019
- [j11]Malek Ben Salem, François Bachoc, Olivier Roustant, Fabrice Gamboa, Lionel Tomaso:
Gaussian Process-Based Dimension Reduction for Goal-Oriented Sequential Design. SIAM/ASA J. Uncertain. Quantification 7(4): 1369-1397 (2019) - [j10]François Bachoc, Moreno Bevilacqua, Daira Velandia:
Composite likelihood estimation for a Gaussian process under fixed domain asymptotics. J. Multivar. Anal. 174 (2019) - [j9]Baptiste Broto, François Bachoc, Marine Depecker, Jean-Marc Martinez:
Sensitivity indices for independent groups of variables. Math. Comput. Simul. 163: 19-31 (2019) - [c1]Chafik Samir, Jean-Michel Loubes, Anne-Françoise Yao, François Bachoc:
Learning a Gaussian Process Model on the Riemannian Manifold of Non-decreasing Distribution Functions. PRICAI (2) 2019: 107-120 - [i4]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Approximating Gaussian Process Emulators with Linear Inequality Constraints and Noisy Observations via MC and MCMC. CoRR abs/1901.04827 (2019) - [i3]Mai Trang Vu, François Bachoc, Edouard Pauwels:
Rate of convergence for geometric inference based on the empirical Christoffel function. CoRR abs/1910.14458 (2019) - 2018
- [j8]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-Dimensional Gaussian Approximation with Linear Inequality Constraints. SIAM/ASA J. Uncertain. Quantification 6(3): 1224-1255 (2018) - [j7]Didier Rullière, Nicolas Durrande, François Bachoc, Clément Chevalier:
Nested Kriging predictions for datasets with a large number of observations. Stat. Comput. 28(4): 849-867 (2018) - [j6]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Nil Venet:
A Gaussian Process Regression Model for Distribution Inputs. IEEE Trans. Inf. Theory 64(10): 6620-6637 (2018) - [i2]François Bachoc, Fabrice Gamboa, Jean-Michel Loubes, Laurent Risser:
Entropic Variable Boosting for Explainability and Interpretability in Machine Learning. CoRR abs/1810.07924 (2018) - 2017
- [j5]François Bachoc, Martin Ehler, Manuel Gräf:
Optimal configurations of lines and a statistical application. Adv. Comput. Math. 43(1): 113-126 (2017) - [j4]François Bachoc, Agnès Lagnoux, Thi Mong Ngoc Nguyen:
Cross-validation estimation of covariance parameters under fixed-domain asymptotics. J. Multivar. Anal. 160: 42-67 (2017) - [i1]Andrés F. López-Lopera, François Bachoc, Nicolas Durrande, Olivier Roustant:
Finite-dimensional Gaussian approximation with linear inequality constraints. CoRR abs/1710.07453 (2017) - 2016
- [j3]Reinhard Furrer, François Bachoc, Juan Du:
Asymptotic properties of multivariate tapering for estimation and prediction. J. Multivar. Anal. 149: 177-191 (2016) - 2014
- [j2]François Bachoc:
Asymptotic analysis of the role of spatial sampling for covariance parameter estimation of Gaussian processes. J. Multivar. Anal. 125: 1-35 (2014) - 2013
- [j1]François Bachoc:
Cross Validation and Maximum Likelihood estimations of hyper-parameters of Gaussian processes with model misspecification. Comput. Stat. Data Anal. 66: 55-69 (2013)
Coauthor Index
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last updated on 2024-10-07 21:16 CEST by the dblp team
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