Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application. - Fabien Lauer; Mohamed Bentoumi; Gérard Bloch; Gilles Millerioux; Patrice Aknin (ISNN (1), 2004)

Ho-Kashyap classifier with early stopping for regularization. - Fabien Lauer; Gérard Bloch (Pattern Recognit. Lett., 2006)

A trainable feature extractor for handwritten digit recognition. - Fabien Lauer; Ching Y. Suen; Gérard Bloch (Pattern Recognit., 2007)

Switched and PieceWise Nonlinear Hybrid System Identification. - Fabien Lauer; Gérard Bloch (HSCC, 2008)

Incorporating prior knowledge in support vector machines for classification: A review. - Fabien Lauer; Gérard Bloch (Neurocomputing, 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 regression. - Fabien Lauer; Gérard Bloch (Mach. Learn., 2008)

On Learning Machines for Engine Control. - Gérard Bloch; Fabien Lauer; Guillaume Colin (Computational Intelligence in Automotive Applications, 2008)

Spectral clustering of linear subspaces for motion segmentation. - Fabien Lauer; Christoph Schnörr (ICCV, 2009)

Nonlinear hybrid system identification with kernel models. - Fabien Lauer; Gérard Bloch; René Vidal (CDC, 2010)

A continuous optimization framework for hybrid system identification. - Fabien Lauer; Gérard Bloch; René Vidal (Autom., 2011)

MSVMpack: A Multi-Class Support Vector Machine Package. - Fabien Lauer; Yann Guermeur (J. Mach. Learn. Res., 2011)

Reduced-Size Kernel Models for Nonlinear Hybrid System Identification. - Van Luong Le; Gérard Bloch; Fabien Lauer (IEEE Trans. Neural Networks, 2011)

Learning smooth models of nonsmooth functions via convex optimization. - Fabien Lauer; Van Luong Le; Gérard Bloch (MLSP, 2012)

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. - Fabienne Thomarat; Fabien Lauer; Yann Guermeur (PRIB, 2012)

Identification of MIMO switched state-space models. - Laurent Bako; Van Luong Le; Fabien Lauer; Gérard Bloch (ACC, 2013)

Identification of linear hybrid systems: A geometric approach. - Van Luong Le; Fabien Lauer; Gérard Bloch (ACC, 2013)

Learning nonlinear hybrid systems: from sparse optimization to support vector regression. - Van Luong Le; Fabien Lauer; Laurent Bako; Gérard Bloch (HSCC, 2013)

Piecewise smooth system identification in reproducing kernel Hilbert space. - Fabien Lauer; Gérard Bloch (CDC, 2014)

Sparse phase retrieval via group-sparse optimization. - Fabien Lauer; Henrik Ohlsson (CoRR, 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)

Selective ℓ1 Minimization for Sparse Recovery. - Van Luong Le; Fabien Lauer; Gérard Bloch (IEEE Trans. Autom. Control., 2014)

Efficient Optimization of Multi-class Support Vector Machines with MSVMpack. - Emmanuel Didiot; Fabien Lauer (MCO (2), 2015)

On the complexity of piecewise affine system identification. - Fabien Lauer (Autom., 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 switching linear regression. - Fabien Lauer (Autom., 2016)

A sharper bound on the Rademacher complexity of margin multi-category classifiers. - Khadija Musayeva; Fabien Lauer; Yann Guermeur (ESANN, 2018)

Global optimization for low-dimensional switching linear regression and bounded-error estimation. - Fabien Lauer (Autom., 2018)

MLweb: A toolkit for machine learning on the web. - Fabien Lauer (Neurocomputing, 2018)

On the exact minimization of saturated loss functions for robust regression and subspace estimation. - Fabien Lauer (Pattern Recognit. Lett., 2018)

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)

Rademacher complexity and generalization performance of multi-category margin classifiers. - Khadija Musayeva; Fabien Lauer; Yann Guermeur (Neurocomputing, 2019)

Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. - Fabien Lauer (AISTATS, 2020)

Structural Risk Minimization for Switched System Identification. - Louis Massucci; Fabien Lauer; Marion Gilson (CDC, 2020)

Error Bounds for Piecewise Smooth and Switching Regression. - Fabien Lauer (IEEE Trans. Neural Networks Learn. Syst., 2020)

Regularized Switched System Identification: a Statistical Learning Perspective. - Louis Massucci; Fabien Lauer; Marion Gilson (ADHS, 2021)

A statistical learning perspective on switched linear system identification. - Louis Massucci; Fabien Lauer; Marion Gilson (Autom., 2022)

Uniform Risk Bounds for Learning with Dependent Data Sequences. - Fabien Lauer (CoRR, 2023)

Margin-Based Scenario Approach to Robust Optimization in High Dimension. - Fabien Lauer (IEEE Trans. Autom. Control., 2024)