A distribution-free criterion for robust identification, with applications in system modelling and image processing. - Alain Venot; Luc Pronzato; Eric Walter; J. F. Lebruchec (Autom., 1986)

Experiment design in a bounded-error context: Comparison with D-optimality. - Luc Pronzato; Eric Walter (Autom., 1989)

Theoretical properties of sign change criteria for robust off-line estimation. - Eric Walter; Luc Pronzato; Alain Venot (Autom., 1989)

Qualitative and quantitative experiment design for phenomenological models - A survey. - Eric Walter; Luc Pronzato (Autom., 1990)

Maximum-volume ellipsoids contained in bounded convex sets: Application to batch and on-line parameter bounding. - Luc Pronzato; Eric Walter (System Modelling and Optimization, 1993)

Minimum-volume ellipsoids containing compact sets : Application to parameter bounding. - Luc Pronzato; Eric Walter (Autom., 1994)

Second-order approximation of the entropy in nonlinear least-squares estimation. - Luc Pronzato; Andrej Pázman (Kybernetika, 1994)

Comments about the coincident bit counting (CBC) criterion for image registration. - Alain Venot; Luc Pronzato; Eric Walter (IEEE Trans. Medical Imaging, 1994)

Identifiability and distinguishability concepts in electrochemistry. - Fabienne Berthier; J.-P. Diard; Luc Pronzato; Eric Walter (Autom., 1996)

Dual Control of Linearly Parameterised Models via Prediction of Posterior Densities. - Caroline Kulcsar; Luc Pronzato; Eric Walter (Eur. J. Control, 1996)

Erratum: Second-order approximation of the entropy in nonlinear least-squares estimation. - Luc Pronzato; Andrej Pázman (Kybernetika, 1996)

An actively adaptive control policy for linear models. - Luc Pronzato; Caroline Kulcsar; Eric Walter (IEEE Trans. Autom. Control., 1996)

Blind equalization in presence of bounded errors. - Sylvie Icart; Joël Le Roux; Luc Pronzato; Eric Thierry; Anatoly A. Zhigljavsky (ICASSP, 1997)

Stochastic Analysis of Convergence via Dynamic Representation for a Class of Line-search Algorithms. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Comb. Probab. Comput., 1997)

Optimal selection of information with restricted storage capacity. - Luc Pronzato (ICASSP, 1998)

Dynamical Search - Applications of Dynamical Systems in Search and Optimization: Interdisciplinary Statistics. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (CRC Press, 1999)

Nonlinear filtering by kriging, with application to system inversion. - Jean Pierre Da Costa; Luc Pronzato; Eric Thierry (ICASSP, 1999)

Inversion of a nonlinear communication channel by kriging. - Jean-Pierre Costa; Luc Pronzato; Eric Thierry (ICECS, 1999)

A comparison between Kriging and radial basis function networks for nonlinear prediction. - Jean-Pierre Costa; Luc Pronzato; Eric Thierry (NSIP, 1999)

Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Comput. Optim. Appl., 1999)

Discussion on: 'Robust Identification and Control Based on Ellipsoidal Parametric Uncertainty Descriptions' by H.-F. Raynaud, L. Prozato and E. Walter. - Yves Piguet; Henri-François Raynaud; Luc Pronzato; Eric Walter (Eur. J. Control, 2000)

Robust Identification and Control Based on Ellipsoidal Parametric Uncertainty Descriptions. - Henri-François Raynaud; Luc Pronzato; Eric Walter (Eur. J. Control, 2000)

Nonlinear prediction by kriging, with application to noise cancellation. - Jean-Pierre Costa; Luc Pronzato; Eric Thierry (Signal Process., 2000)

Entropy minimization for parameter estimation problems with unknown distribution of the output noise. - Luc Pronzato; Eric Thierry (ICASSP, 2001)

Using densities of estimators to compare pharmacokinetic experiments. - Luc Pronzato; Andrej Pázman (Comput. Biol. Medicine, 2001)

Optimal and asymptotically optimal decision rules for sequential screening and resource allocation. - Luc Pronzato (IEEE Trans. Autom. Control., 2001)

Eliminating Suboptimal Local Minimizers in Nonlinear Parameter Estimation. - Luc Pronzato; Eric Walter (Technometrics, 2001)

Recursively re-weighted least-squares estimation in regression models with parameterized variance. - Luc Pronzato; Andrej Pázman (EUSIPCO, 2004)

Kalman filtering in stochastic gradient algorithms: construction of a stopping rule. - Barbara Bittner; Luc Pronzato (ICASSP (2), 2004)

Minimum-entropy estimation in semi-parametric models. - Eric Wolsztynski; Eric Thierry; Luc Pronzato (Signal Process., 2005)

A Minimum-Entropy Procedure for Robust Motion Estimation. - Sylvain Boltz; Eric Wolsztynski; Eric Debreuve; Eric Thierry; Michel Barlaud; Luc Pronzato (ICIP, 2006)

Asymptotic behaviour of a family of gradient algorithms in Rd and Hilbert spaces. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (Math. Program., 2006)

Optimal experimental design and some related control problems. - Luc Pronzato (Autom., 2008)

Gradient algorithms for quadratic optimization with fast convergence rates. - Luc Pronzato; Anatoly A. Zhigljavsky (Comput. Optim. Appl., 2011)

Design of computer experiments: space filling and beyond. - Luc Pronzato; Werner G. Müller (Stat. Comput., 2012)

An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost. - Anatoly A. Zhigljavsky; Luc Pronzato; Elena Bukina (Optim. Lett., 2013)

Nonparametric density estimation with region-censored data. - Youssef Bennani; Luc Pronzato; Maria-João Rendas (EUSIPCO, 2014)

Spectral Approximation of the IMSE Criterion for Optimal Designs in Kernel-Based Interpolation Models. - Bertrand Gauthier; Luc Pronzato (SIAM/ASA J. Uncertain. Quantification, 2014)

Most Likely Maximum Entropy for Population Analysis with Region-Censored Data. - Youssef Bennani; Luc Pronzato; Maria-João Rendas (Entropy, 2015)

Approximation of IMSE-optimal Designs via Quadrature Rules and Spectral Decomposition. - Bertrand Gauthier; Luc Pronzato (Commun. Stat. Simul. Comput., 2016)

Convex relaxation for IMSE optimal design in random-field models. - Bertrand Gauthier; Luc Pronzato (Comput. Stat. Data Anal., 2017)

Bayesian Local Kriging. - Luc Pronzato; Maria-João Rendas (Technometrics, 2017)

Simplicial variances, potentials and Mahalanobis distances. - Luc Pronzato; Henry P. Wynn; Anatoly A. Zhigljavsky (J. Multivar. Anal., 2018)

Measures Minimizing Regularized Dispersion. - Luc Pronzato; Anatoly Zhigljavsky (J. Sci. Comput., 2019)

On the elimination of inessential points in the smallest enclosing ball problem. - Luc Pronzato (Optim. Methods Softw., 2019)

Sensitivity analysis via Karhunen-Loève expansion of a random field model: Estimation of Sobol' indices and experimental design. - Luc Pronzato (Reliab. Eng. Syst. Saf., 2019)

Bayesian Quadrature, Energy Minimization, and Space-Filling Design. - Luc Pronzato; Anatoly Zhigljavsky (SIAM/ASA J. Uncertain. Quantification, 2020)

Model Predictivity Assessment: Incremental Test-Set Selection and Accuracy Evaluation. - Elias Fekhari; Bertrand Iooss; Joseph Muré; Luc Pronzato; Maria-João Rendas (SIS, 2021)

Incremental space-filling design based on coverings and spacings: improving upon low discrepancy sequences. - Amaya Nogales-Gómez; Luc Pronzato; Maria-João Rendas (CoRR, 2021)

Minimum-energy measures for singular kernels. - Luc Pronzato; Anatoly Zhigljavsky (J. Comput. Appl. Math., 2021)

Fast Screening Rules for Optimal Design via Quadratic Lasso Reformulation. - Guillaume Sagnol; Luc Pronzato (J. Mach. Learn. Res., 2023)

Performance analysis of greedy algorithms for minimising a Maximum Mean Discrepancy. - Luc Pronzato (Stat. Comput., 2023)

Quasi-uniform designs with optimal and near-optimal uniformity constant. - Luc Pronzato; Anatoly A. Zhigljavsky (J. Approx. Theory, 2023)

Weighted Leave-One-Out Cross Validation. - Luc Pronzato; Maria-João Rendas (SIAM/ASA J. Uncertain. Quantification, 2024)