Sébastien Le Digabel

Orcid: 0000-0003-3148-5090

Affiliations:
  • Polytechnique Montréal, Canada


According to our database1, Sébastien Le Digabel authored at least 47 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Handling of constraints in multiobjective blackbox optimization.
Comput. Optim. Appl., September, 2024

A graph-structured distance for heterogeneous datasets with meta variables.
CoRR, 2024

2023
Constrained stochastic blackbox optimization using a progressive barrier and probabilistic estimates.
Math. Program., March, 2023

Efficient Training Under Limited Resources.
CoRR, 2023

Scaling Deep Networks with the Mesh Adaptive Direct Search algorithm.
CoRR, 2023

2022
Algorithm 1027: NOMAD Version 4: Nonlinear Optimization with the MADS Algorithm.
ACM Trans. Math. Softw., 2022

Hierarchically constrained blackbox optimization.
Oper. Res. Lett., 2022

Use of Static Surrogates in Hyperparameter Optimization.
Oper. Res. Forum, 2022

Anomaly detection for data accountability of Mars telemetry data.
Expert Syst. Appl., 2022

Computational study of a branching algorithm for the maximum k-cut problem.
Discret. Optim., 2022

Quantifying uncertainty with ensembles of surrogates for blackbox optimization.
Comput. Optim. Appl., 2022

Constrained blackbox optimization with the NOMAD solver on the COCO constrained test suite.
Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

2021
HyperNOMAD: Hyperparameter Optimization of Deep Neural Networks Using Mesh Adaptive Direct Search.
ACM Trans. Math. Softw., 2021

Optimization of Stochastic Blackboxes with Adaptive Precision.
SIAM J. Optim., 2021

Preface to the special issue of JOGO on the occasion of the 40th anniversary of the Group for Research in Decision Analysis (GERAD).
J. Glob. Optim., 2021

Performance indicators in multiobjective optimization.
Eur. J. Oper. Res., 2021

Two decades of blackbox optimization applications.
EURO J. Comput. Optim., 2021

NOMAD version 4: Nonlinear optimization with the MADS algorithm.
CoRR, 2021

DMulti-MADS: mesh adaptive direct multisearch for bound-constrained blackbox multiobjective optimization.
Comput. Optim. Appl., 2021

Stochastic mesh adaptive direct search for blackbox optimization using probabilistic estimates.
Comput. Optim. Appl., 2021

2020
Preface to the special issue of INFOR on "continuous optimization and applications in machine learning and data analytics".
INFOR Inf. Syst. Oper. Res., 2020

Tuning a variational autoencoder for data accountability problem in the Mars Science Laboratory ground data system.
CoRR, 2020

2019
The Mesh Adaptive Direct Search Algorithm for Granular and Discrete Variables.
SIAM J. Optim., 2019

Improving the linear relaxation of maximum <i>k</i>-cut with semidefinite-based constraints.
EURO J. Comput. Optim., 2019

2018
Robust optimization of noisy blackbox problems using the Mesh Adaptive Direct Search algorithm.
Optim. Lett., 2018

Order-based error for managing ensembles of surrogates in mesh adaptive direct search.
J. Glob. Optim., 2018

Efficient solution of quadratically constrained quadratic subproblems within the mesh adaptive direct search algorithm.
Eur. J. Oper. Res., 2018

A progressive barrier derivative-free trust-region algorithm for constrained optimization.
Comput. Optim. Appl., 2018

Computational study of valid inequalities for the maximum k-cut problem.
Ann. Oper. Res., 2018

2016
Rejoinder.
Technometrics, 2016

Modeling an Augmented Lagrangian for Blackbox Constrained Optimization.
Technometrics, 2016

Classification with Quantification for Air Quality Monitoring.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

Bayesian optimization under mixed constraints with a slack-variable augmented Lagrangian.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015
Linear equalities in blackbox optimization.
Comput. Optim. Appl., 2015

2014
Reducing the Number of Function Evaluations in Mesh Adaptive Direct Search Algorithms.
SIAM J. Optim., 2014

PSEUDOMARKER 2.0: efficient computation of likelihoods using NOMAD.
BMC Bioinform., 2014

2013
Use of quadratic models with mesh-adaptive direct search for constrained black box optimization.
Optim. Methods Softw., 2013

ACRE: An Automated Aspect Creator for Testing C++ Applications.
Proceedings of the 17th European Conference on Software Maintenance and Reengineering, 2013

2012
Trade-off studies in blackbox optimization.
Optim. Methods Softw., 2012

Optimizing Threads Schedule Alignments to Expose the Interference Bug Pattern.
Proceedings of the Search Based Software Engineering - 4th International Symposium, 2012

2011
Algorithm 909: NOMAD: Nonlinear Optimization with the MADS Algorithm.
ACM Trans. Math. Softw., 2011

2010
Exact and heuristic solutions of the global supply chain problem with transfer pricing.
Eur. J. Oper. Res., 2010

Globalization strategies for Mesh Adaptive Direct Search.
Comput. Optim. Appl., 2010

2009
OrthoMADS: A Deterministic MADS Instance with Orthogonal Directions.
SIAM J. Optim., 2009

2008
Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm.
SIAM J. Optim., 2008

Nonsmooth optimization through Mesh Adaptive Direct Search and Variable Neighborhood Search.
J. Glob. Optim., 2008

2004
Pooling Problem: Alternate Formulations and Solution Methods.
Manag. Sci., 2004


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