Edouard Pauwels
Orcid: 0000-0002-8180-075XAffiliations:
- Toulouse School of Economics, France
According to our database1,
Edouard Pauwels
authored at least 54 papers
between 2011 and 2024.
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Online presence:
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Bibliography
2024
SIAM J. Optim., March, 2024
CoRR, 2024
2023
SIAM J. Optim., December, 2023
The backtrack Hölder gradient method with application to min-max and min-min problems.
Open J. Math. Optim., 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Neural Process. Lett., 2022
Nonsmooth automatic differentiation: a cheap gradient principle and other complexity results.
CoRR, 2022
Comput. Optim. Appl., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
Oper. Res. Lett., 2021
Conservative set valued fields, automatic differentiation, stochastic gradient methods and deep learning.
Math. Program., 2021
J. Optim. Theory Appl., 2021
Found. Comput. Math., 2021
Semialgebraic Representation of Monotone Deep Equilibrium Models and Applications to Certification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Math. Program., 2020
Long term dynamics of the subgradient method for Lipschitz path differentiable functions.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Rate of convergence for geometric inference based on the empirical Christoffel function.
CoRR, 2019
Conservative set valued fields, automatic differentiation, stochastic gradient method and deep learning.
CoRR, 2019
Adv. Comput. Math., 2019
2018
J. Optim. Theory Appl., 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Proceedings of the Geometric and Numerical Foundations of Movements, 2017
2016
Oper. Res. Lett., 2016
Majorization-Minimization Procedures and Convergence of SQP Methods for Semi-Algebraic and Tame Programs.
Math. Oper. Res., 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
2015
SIAM J. Optim., 2015
2014
A Bayesian active learning strategy for sequential experimental design in systems biology.
BMC Syst. Biol., 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
2012
Drug Side-Effect Prediction Based on the Integration of Chemical and Biological Spaces.
J. Chem. Inf. Model., 2012
Identification of chemogenomic features from drug-target interaction networks using interpretable classifiers.
Bioinform., 2012
2011
Extracting Sets of Chemical Substructures and Protein Domains Governing Drug-Target Interactions.
J. Chem. Inf. Model., 2011
BMC Bioinform., 2011