Luc Pronzato

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Publications in SciGraph latest 50 shown

  • 2019-03 Measures Minimizing Regularized Dispersion in JOURNAL OF SCIENTIFIC COMPUTING
  • 2019-01-16 Bregman divergences based on optimal design criteria and simplicial measures of dispersion in STATISTICAL PAPERS
  • 2016-12 Extremal measures maximizing functionals based on simplicial volumes in STATISTICAL PAPERS
  • 2016 Optimal Design for Prediction in Random Field Models via Covariance Kernel Expansions in MODA 11 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS
  • 2013-10 Estimation of Spectral Bounds in Gradient Algorithms in ACTA APPLICANDAE MATHEMATICAE
  • 2013-08 An asymptotically optimal gradient algorithm for quadratic optimization with low computational cost in OPTIMIZATION LETTERS
  • 2013 Extended Optimality Criteria for Optimum Design in Nonlinear Regression in MODA 10 – ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS
  • 2013 Design of Experiments in Nonlinear Models, Asymptotic Normality, Optimality Criteria and Small-Sample Properties in NONE
  • 2012-05 Design of computer experiments: space filling and beyond in STATISTICS AND COMPUTING
  • 2012 Relations Between Designs for Prediction and Estimation in Random Fields: An Illustrative Case in ADVANCES AND CHALLENGES IN SPACE-TIME MODELLING OF NATURAL EVENTS
  • 2011-12 Gradient algorithms for quadratic optimization with fast convergence rates in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 2009 Asymptotic Normality of Nonlinear Least Squares under Singular Experimental Designs in OPTIMAL DESIGN AND RELATED AREAS IN OPTIMIZATION AND STATISTICS
  • 2009 Studying Convergence of Gradient Algorithms Via Optimal Experimental Design Theory in OPTIMAL DESIGN AND RELATED AREAS IN OPTIMIZATION AND STATISTICS
  • 2009 A Dynamical-System Analysis of the Optimum s-Gradient Algorithm in OPTIMAL DESIGN AND RELATED AREAS IN OPTIMIZATION AND STATISTICS
  • 2007 Quantile and Probability-level Criteria for Nonlinear Experimental Design in MODA 8 - ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS
  • 2006-07 Asymptotic behaviour of a family of gradient algorithms in ℝd and Hilbert spaces in MATHEMATICAL PROGRAMMING
  • 2004 Simultaneous Choice of Design and Estimator in Nonlinear Regression with Parameterized Variance in MODA 7 — ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS
  • 2004 Minimum Entropy Estimation in Semi-Parametric Models: a Candidate for Adaptive Estimation? in MODA 7 — ADVANCES IN MODEL-ORIENTED DESIGN AND ANALYSIS
  • 2002-10 Sequential experimental design and response optimisation in STATISTICAL METHODS & APPLICATIONS
  • 2002 An Introduction to Dynamical Search in HANDBOOK OF GLOBAL OPTIMIZATION
  • 2001-05 Renormalised Steepest Descent in Hilbert Space Converges to a Two-Point Attractor in ACTA APPLICANDAE MATHEMATICAE
  • 2001 Some Convergence Properties of the Steepest Descent Algorithm Revealed by Renormalisation in ADVANCES IN CONVEX ANALYSIS AND GLOBAL OPTIMIZATION
  • 1999-07 Finite Sample Behaviour of an Ergodically Fast Line-Search Algorithm in COMPUTATIONAL OPTIMIZATION AND APPLICATIONS
  • 1998 Multi-Domain Optimisation Using Computer Experiments for Concurrent Engineering in ADAPTIVE COMPUTING IN DESIGN AND MANUFACTURE
  • 1998 Approximate Densities of Two Bias-Corrected Nonlinear LS Estimators in MODA 5 — ADVANCES IN MODEL-ORIENTED DATA ANALYSIS AND EXPERIMENTAL DESIGN
  • 1998 Section — Invariant Numbers and Generalised Golden Section Optimization Algorithms* in APPLICATIONS OF FIBONACCI NUMBERS
  • 1996 Quality Improvement via Optimization of Tolerance Intervals During the Design Stage in APPLICATIONS OF INTERVAL COMPUTATIONS
  • 1995 Improving on Golden-Section Optimisation for Locally Symmetric Functions in MODA4 — ADVANCES IN MODEL-ORIENTED DATA ANALYSIS
  • 1984 Digital Methods for Change Detection in Medical Images in INFORMATION PROCESSING IN MEDICAL IMAGING
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