Fabien Lauer

Publication Activity (10 Years)

Years Active: 2004-2023
Publications (10 Years): 16

Top Topics

Linear Regression

Support Vector Machine

Piecewise Smooth

Top Venues

Publications

Fabien Lauer
Uniform Risk Bounds for Learning with Dependent Data Sequences. CoRR (2023)
Louis Massucci, Fabien Lauer, Marion Gilson
A statistical learning perspective on switched linear system identification. Autom. 145 (2022)
Louis Massucci, Fabien Lauer, Marion Gilson
Regularized Switched System Identification: a Statistical Learning Perspective. ADHS (2021)
Fabien Lauer
Error Bounds for Piecewise Smooth and Switching Regression. IEEE Trans. Neural Networks Learn. Syst. 31 (4) (2020)
Fabien Lauer
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. AISTATS (2020)
Louis Massucci, Fabien Lauer, Marion Gilson
Structural Risk Minimization for Switched System Identification. CDC (2020)
Fabien Lauer
Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. CoRR (2019)
Khadija Musayeva, Fabien Lauer, Yann Guermeur
Rademacher complexity and generalization performance of multi-category margin classifiers. Neurocomputing 342 (2019)
Fabien Lauer
On the exact minimization of saturated loss functions for robust regression and subspace estimation. Pattern Recognit. Lett. 112 (2018)
Fabien Lauer
On the exact minimization of saturated loss functions for robust regression and subspace estimation. CoRR (2018)
Khadija Musayeva, Fabien Lauer, Yann Guermeur
A sharper bound on the Rademacher complexity of margin multi-category classifiers. ESANN (2018)
Fabien Lauer
Global optimization for low-dimensional switching linear regression and bounded-error estimation. Autom. 89 (2018)
Fabien Lauer
MLweb: A toolkit for machine learning on the web. Neurocomputing 282 (2018)
Fabien Lauer
Global optimization for low-dimensional switching linear regression and bounded-error estimation. CoRR (2017)
Fabien Lauer
Error Bounds for Piecewise Smooth and Switching Regression. CoRR (2017)
Fabien Lauer
On the complexity of switching linear regression. Autom. 74 (2016)
Fabien Lauer
On the complexity of piecewise affine system identification. Autom. 62 (2015)
Emmanuel Didiot, Fabien Lauer
Efficient Optimization of Multi-class Support Vector Machines with MSVMpack. MCO (2) (2015)
Fabien Lauer
On the complexity of switching linear regression. CoRR (2015)
Fabien Lauer, Henrik Ohlsson
Finding sparse solutions of systems of polynomial equations via group-sparsity optimization. J. Glob. Optim. 62 (2) (2015)
Fabien Lauer
On the complexity of piecewise affine system identification. CoRR (2015)
Fabien Lauer, Gérard Bloch
Piecewise smooth system identification in reproducing kernel Hilbert space. CDC (2014)
Tao Pham Dinh, Le Hoai Minh, Hoai An Le Thi, Fabien Lauer
A Difference of Convex Functions Algorithm for Switched Linear Regression. IEEE Trans. Autom. Control. 59 (8) (2014)
Fabien Lauer, Henrik Ohlsson
Sparse phase retrieval via group-sparse optimization. CoRR (2014)
Van Luong Le, Fabien Lauer, Gérard Bloch
Minimization for Sparse Recovery. IEEE Trans. Autom. Control. 59 (11) (2014)
Van Luong Le, Fabien Lauer, Laurent Bako, Gérard Bloch
Learning nonlinear hybrid systems: from sparse optimization to support vector regression. HSCC (2013)
Fabien Lauer, Henrik Ohlsson
Finding sparse solutions of systems of polynomial equations via group-sparsity optimization. CoRR (2013)
Laurent Bako, Van Luong Le, Fabien Lauer, Gérard Bloch
Identification of MIMO switched state-space models. ACC (2013)
Van Luong Le, Fabien Lauer, Gérard Bloch
Identification of linear hybrid systems: A geometric approach. ACC (2013)
Fabienne Thomarat, Fabien Lauer, Yann Guermeur
Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. PRIB (2012)
Fabien Lauer, Van Luong Le, Gérard Bloch
Learning smooth models of nonsmooth functions via convex optimization. MLSP (2012)
Van Luong Le, Gérard Bloch, Fabien Lauer
Reduced-Size Kernel Models for Nonlinear Hybrid System Identification. IEEE Trans. Neural Networks 22 (12) (2011)
Fabien Lauer, Yann Guermeur
MSVMpack: A Multi-Class Support Vector Machine Package. J. Mach. Learn. Res. 12 (2011)
Fabien Lauer, Gérard Bloch, René Vidal
A continuous optimization framework for hybrid system identification. Autom. 47 (3) (2011)
Fabien Lauer, Gérard Bloch, René Vidal
Nonlinear hybrid system identification with kernel models. CDC (2010)
Fabien Lauer, Christoph Schnörr
Spectral clustering of linear subspaces for motion segmentation. ICCV (2009)
Gérard Bloch, Fabien Lauer, Guillaume Colin, Yann Chamaillard
Support vector regression from simulation data and few experimental samples. Inf. Sci. 178 (20) (2008)
Fabien Lauer, Gérard Bloch
Incorporating prior knowledge in support vector regression. Mach. Learn. 70 (1) (2008)
Fabien Lauer, Gérard Bloch
Incorporating prior knowledge in support vector machines for classification: A review. Neurocomputing 71 (7-9) (2008)
Fabien Lauer, Gérard Bloch
Switched and PieceWise Nonlinear Hybrid System Identification. HSCC (2008)
Fabien Lauer, Ching Y. Suen, Gérard Bloch
A trainable feature extractor for handwritten digit recognition. Pattern Recognit. 40 (6) (2007)
Fabien Lauer, Gérard Bloch
Ho-Kashyap classifier with early stopping for regularization. Pattern Recognit. Lett. 27 (9) (2006)
Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin
Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application. ISNN (1) (2004)