Fabien Lauer

According to our database, Fabien Lauer authored at least 38 papers between 2004 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Uniform Risk Bounds for Learning with Dependent Data Sequences.

Fabien Lauer

CoRR, 2023

2022

A statistical learning perspective on switched linear system identification.

Louis Massucci, Fabien Lauer, Marion Gilson

Autom., 2022

2021

Regularized Switched System Identification: a Statistical Learning Perspective.

Louis Massucci, Fabien Lauer, Marion Gilson

Proceedings of the 7th IFAC Conference on Analysis and Design of Hybrid Systems, 2021

2020

Error Bounds for Piecewise Smooth and Switching Regression.

Fabien Lauer

IEEE Trans. Neural Networks Learn. Syst., 2020

Structural Risk Minimization for Switched System Identification.

Louis Massucci, Fabien Lauer, Marion Gilson

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses.

Fabien Lauer

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Rademacher complexity and generalization performance of multi-category margin classifiers.

Khadija Musayeva, Fabien Lauer, Yann Guermeur

Neurocomputing, 2019

Optimization and statistical learning theory for piecewise smooth and switching regression. (Optimisation et théorie statistique de l'apprentissage pour la régression douce par morceaux et à commutations).

Fabien Lauer

, 2019

2018

On the exact minimization of saturated loss functions for robust regression and subspace estimation.

Fabien Lauer

Pattern Recognit. Lett., 2018

MLweb: A toolkit for machine learning on the web.

Fabien Lauer

Neurocomputing, 2018

Global optimization for low-dimensional switching linear regression and bounded-error estimation.

Fabien Lauer

Autom., 2018

A sharper bound on the Rademacher complexity of margin multi-category classifiers.

Khadija Musayeva, Fabien Lauer, Yann Guermeur

Proceedings of the 26th European Symposium on Artificial Neural Networks, 2018

2016

On the complexity of switching linear regression.

Fabien Lauer

Autom., 2016

2015

Finding sparse solutions of systems of polynomial equations via group-sparsity optimization.

Fabien Lauer, Henrik Ohlsson

J. Glob. Optim., 2015

On the complexity of piecewise affine system identification.

Fabien Lauer

Autom., 2015

Efficient Optimization of Multi-class Support Vector Machines with MSVMpack.

Emmanuel Didiot, Fabien Lauer

Proceedings of the Modelling, Computation and Optimization in Information Systems and Management Sciences - Proceedings of the 3rd International Conference on Modelling, Computation and Optimization in Information Systems and Management Sciences, 2015

2014

Selective ℓ₁ Minimization for Sparse Recovery.

Van Luong Le, Fabien Lauer, Gérard Bloch

IEEE Trans. Autom. Control., 2014

A Difference of Convex Functions Algorithm for Switched Linear Regression.

Tao Pham Dinh, Le Hoai Minh, Hoai An Le Thi, Fabien Lauer

IEEE Trans. Autom. Control., 2014

Sparse phase retrieval via group-sparse optimization.

Fabien Lauer, Henrik Ohlsson

CoRR, 2014

Piecewise smooth system identification in reproducing kernel Hilbert space.

Fabien Lauer, Gérard Bloch

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Learning nonlinear hybrid systems: from sparse optimization to support vector regression.

Van Luong Le, Fabien Lauer, Laurent Bako, Gérard Bloch

Proceedings of the 16th international conference on Hybrid systems: computation and control, 2013

Identification of linear hybrid systems: A geometric approach.

Van Luong Le, Fabien Lauer, Gérard Bloch

Proceedings of the American Control Conference, 2013

Identification of MIMO switched state-space models.

Laurent Bako, Van Luong Le, Fabien Lauer, Gérard Bloch

Proceedings of the American Control Conference, 2013

2012

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction.

Fabienne Thomarat, Fabien Lauer, Yann Guermeur

Proceedings of the Pattern Recognition in Bioinformatics, 2012

Learning smooth models of nonsmooth functions via convex optimization.

Fabien Lauer, Van Luong Le, Gérard Bloch

Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2011

Reduced-Size Kernel Models for Nonlinear Hybrid System Identification.

Van Luong Le, Gérard Bloch, Fabien Lauer

IEEE Trans. Neural Networks, 2011

MSVMpack: A Multi-Class Support Vector Machine Package.

Fabien Lauer, Yann Guermeur

J. Mach. Learn. Res., 2011

A continuous optimization framework for hybrid system identification.

Fabien Lauer, Gérard Bloch, René Vidal

Autom., 2011

2010

Nonlinear hybrid system identification with kernel models.

Fabien Lauer, Gérard Bloch, René Vidal

Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009

Spectral clustering of linear subspaces for motion segmentation.

Fabien Lauer, Christoph Schnörr

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

2008

On Learning Machines for Engine Control.

Gérard Bloch, Fabien Lauer, Guillaume Colin

Proceedings of the Computational Intelligence in Automotive Applications, 2008

Incorporating prior knowledge in support vector regression.

Fabien Lauer, Gérard Bloch

Mach. Learn., 2008

Support vector regression from simulation data and few experimental samples.

Gérard Bloch, Fabien Lauer, Guillaume Colin, Yann Chamaillard

Inf. Sci., 2008

Incorporating prior knowledge in support vector machines for classification: A review.

Fabien Lauer, Gérard Bloch

Neurocomputing, 2008

Switched and PieceWise Nonlinear Hybrid System Identification.

Fabien Lauer, Gérard Bloch

Proceedings of the Hybrid Systems: Computation and Control, 11th International Workshop, 2008

2007

A trainable feature extractor for handwritten digit recognition.

Fabien Lauer, Ching Y. Suen, Gérard Bloch

Pattern Recognit., 2007

2006

Ho-Kashyap classifier with early stopping for regularization.

Fabien Lauer, Gérard Bloch

Pattern Recognit. Lett., 2006

2004

Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application.

Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin

Proceedings of the Advances in Neural Networks, 2004