Fabien Lauer

发表

Error Bounds for Piecewise Smooth and Switching Regression

Fabien Lauer, Fabien Lauer, 2017, IEEE Transactions on Neural Networks and Learning Systems.

Nonlinear hybrid system identification with kernel models

René Vidal, Gérard Bloch, Fabien Lauer, 2010, 49th IEEE Conference on Decision and Control (CDC).

Hybrid System Identification: Theory and Algorithms for Learning Switching Models

Gérard Bloch, Fabien Lauer, 2019 .

MSVMpack: A Multi-Class Support Vector Machine Package

Yann Guermeur, Fabien Lauer, Y. Guermeur, 2011, J. Mach. Learn. Res..

Rademacher complexity and generalization performance of multi-category margin classifiers

Yann Guermeur, Fabien Lauer, Khadija Musayeva, 2018, Neurocomputing.

MLweb: A toolkit for machine learning on the web

Fabien Lauer, 2018, Neurocomputing.

On Learning Machines for Engine Control

Gérard Bloch, Guillaume Colin, Fabien Lauer, 2008, Computational Intelligence in Automotive Applications.

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

Gérard Bloch, Laurent Bako, Fabien Lauer, 2013, HSCC '13.

Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction

Yann Guermeur, Fabienne Thomarat, Fabien Lauer, 2012, PRIB.

Incorporating prior knowledge in support vector regression

Gérard Bloch, Fabien Lauer, Fabien Lauer, 2007, Machine Learning.

Spectral clustering of linear subspaces for motion segmentation

Christoph Schnörr, Fabien Lauer, C. Schnörr, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Support vector regression from simulation data and few experimental samples

Gérard Bloch, Guillaume Colin, Yann Chamaillard, 2008, Inf. Sci..

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

Fabien Lauer, Fabien Lauer, 2019, AISTATS.

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

Patrice Aknin, Gérard Bloch, Gilles Millerioux, 2004, ISNN.

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

Henrik Ohlsson, Fabien Lauer, 2015, J. Glob. Optim..

Sparse phase retrieval via group-sparse optimization pdf

Henrik Ohlsson, Fabien Lauer, 2014, ArXiv.

On the complexity of piecewise affine system identification pdf

Fabien Lauer, Fabien Lauer, 2015, Autom..

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

Fabien Lauer, 2018, Autom..

Identification of MIMO switched state-space models

Gérard Bloch, Laurent Bako, Fabien Lauer, 2013, 2013 American Control Conference.

Efficient Optimization of Multi-class Support Vector Machines with MSVMpack

Fabien Lauer, Emmanuel Didiot, Fabien Lauer, 2015, MCO.

Hybrid System Identification

Gérard Bloch, Fabien Lauer, 2019 .

Selective $\ell_{1}$ Minimization for Sparse Recovery

Gérard Bloch, Fabien Lauer, Van Luong Le, 2014, IEEE Transactions on Automatic Control.

Learning smooth models of nonsmooth functions via convex optimization

Gérard Bloch, Fabien Lauer, Van Luong Le, 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

Exact Methods for Hybrid System Identification

Gérard Bloch, Fabien Lauer, 2019 .

A trainable feature extractor for handwritten digit recognition

Ching Y. Suen, Gérard Bloch, Fabien Lauer, 2007, Pattern Recognit..

A Difference of Convex Functions Algorithm for Switched Linear Regression

Le Thi Hoai An, Tao Pham Dinh, Le Hoai Minh, 2014, IEEE Transactions on Automatic Control.

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, F. Lauer, 2019 .

Recursive and State-Space Identification of Hybrid Systems

Gérard Bloch, Fabien Lauer, 2019 .

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

Gérard Bloch, Fabien Lauer, Fabien Lauer, 2008, Neurocomputing.

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

Yann Guermeur, Fabien Lauer, Khadija Musayeva, 2018, ESANN.

Ho-Kashyap classifier with early stopping for regularization

Gérard Bloch, Fabien Lauer, Fabien Lauer, 2006, Pattern Recognit. Lett..

Piecewise smooth system identification in reproducing kernel Hilbert space

Gérard Bloch, Fabien Lauer, 2014, 53rd IEEE Conference on Decision and Control.

A generic approach to biological sequence segmentation problems, application to protein secondary structure prediction

Yann Guermeur, Fabien Lauer, Y. Guermeur, 2015 .

Structural Risk Minimization for Switched System Identification

Marion Gilson, Fabien Lauer, Louis Massucci, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Combining experimental data and physical simulation models in Support Vector learning

Gérard Bloch, Guillaume Colin, Yann Chamaillard, 2007 .

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

Fabien Lauer, 2018, Pattern Recognit. Lett..

Switched and PieceWise Nonlinear Hybrid System Identification

Gérard Bloch, Fabien Lauer, Fabien Lauer, 2008, HSCC.

Estimation of Switched Linear Models

Gérard Bloch, Fabien Lauer, 2019 .

Nonlinear Hybrid System Identification ($$\star $$)

Gérard Bloch, Fabien Lauer, 2019 .

A continuous optimization framework for hybrid system identification

René Vidal, Gérard Bloch, Fabien Lauer, 2011, Autom..

On the complexity of switching linear regression pdf

Fabien Lauer, 2016, Autom..

Reduced-Size Kernel Models for Nonlinear Hybrid System Identification

Gérard Bloch, Fabien Lauer, Van Luong Le, 2011, IEEE Transactions on Neural Networks.

Identification of linear hybrid systems: A geometric approach

Gérard Bloch, Fabien Lauer, Van Luong Le, 2013, 2013 American Control Conference.

How Statistical Learning Can Help to Estimate the Number of Modes in Switched System Identification?

Marion Gilson, Fabien Lauer, Louis Massucci, 2021, IFAC-PapersOnLine.

Regularized Switched System Identification: a Statistical Learning Perspective

Marion Gilson, Fabien Lauer, Louis Massucci, 2021, ADHS.

Estimating the probability of success of a simple algorithm for switched linear regression

Fabien Lauer, 2013 .

A product-of-errors framework for linear hybrid system identification

René Vidal, Gérard Bloch, Fabien Lauer, 2009 .

Selective l1 minimization for sparse recovery

Gérard Bloch, Fabien Lauer, Van Luong Le, 2019 .