Fabien Lauer - RankMe

48 papers A* 1A 1B 1C 2Journal 31Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Uniform error bounds for quantized dynamical models. CoRR Abdelkader Metakalard, Fabien Lauer, Kévin Colin, Marion Gilson
2026	J	`jnl`	Uniform error bounds for quantized dynamical models. IFAC J. Syst. Control. Abdelkader Metakalard, Fabien Lauer, Kévin Colin, Marion Gilson
2024	J	`jnl`	Margin-Based Scenario Approach to Robust Optimization in High Dimension. IEEE Trans. Autom. Control. Fabien Lauer
2023	J	`jnl`	Uniform Risk Bounds for Learning with Dependent Data Sequences. CoRR Fabien Lauer
2022	J	`jnl`	A statistical learning perspective on switched linear system identification. Autom. Louis Massucci, Fabien Lauer, Marion Gilson
2021	—	`conf`	Regularized Switched System Identification: a Statistical Learning Perspective. ADHS Louis Massucci, Fabien Lauer, Marion Gilson
2020	J	`jnl`	Error Bounds for Piecewise Smooth and Switching Regression. IEEE Trans. Neural Networks Learn. Syst. Fabien Lauer
2020	A	`conf`	Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. AISTATS Fabien Lauer
2020	—	`conf`	Structural Risk Minimization for Switched System Identification. CDC Louis Massucci, Fabien Lauer, Marion Gilson
2019	—	`book`	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	J	`jnl`	Rademacher complexity and generalization performance of multi-category margin classifiers. Neurocomputing Khadija Musayeva, Fabien Lauer, Yann Guermeur
2019	J	`jnl`	Risk Bounds for Learning Multiple Components with Permutation-Invariant Losses. CoRR Fabien Lauer
2018	B	`conf`	A sharper bound on the Rademacher complexity of margin multi-category classifiers. ESANN Khadija Musayeva, Fabien Lauer, Yann Guermeur
2018	J	`jnl`	Global optimization for low-dimensional switching linear regression and bounded-error estimation. Autom. Fabien Lauer
2018	J	`jnl`	MLweb: A toolkit for machine learning on the web. Neurocomputing Fabien Lauer
2018	J	`jnl`	On the exact minimization of saturated loss functions for robust regression and subspace estimation. CoRR Fabien Lauer
2018	J	`jnl`	On the exact minimization of saturated loss functions for robust regression and subspace estimation. Pattern Recognit. Lett. Fabien Lauer
2017	J	`jnl`	Error Bounds for Piecewise Smooth and Switching Regression. CoRR Fabien Lauer
2017	J	`jnl`	Global optimization for low-dimensional switching linear regression and bounded-error estimation. CoRR Fabien Lauer
2016	J	`jnl`	On the complexity of switching linear regression. Autom. Fabien Lauer
2015	—	`conf`	Efficient Optimization of Multi-class Support Vector Machines with MSVMpack. MCO (2) Emmanuel Didiot, Fabien Lauer
2015	J	`jnl`	Finding sparse solutions of systems of polynomial equations via group-sparsity optimization. J. Glob. Optim. Fabien Lauer, Henrik Ohlsson
2015	J	`jnl`	On the complexity of piecewise affine system identification. Autom. Fabien Lauer
2015	J	`jnl`	On the complexity of piecewise affine system identification. CoRR Fabien Lauer
2015	J	`jnl`	On the complexity of switching linear regression. CoRR Fabien Lauer
2014	J	`jnl`	A Difference of Convex Functions Algorithm for Switched Linear Regression. IEEE Trans. Autom. Control. Tao Pham Dinh, Le Hoai Minh, Hoai An Le Thi, Fabien Lauer
2014	—	`conf`	Piecewise smooth system identification in reproducing kernel Hilbert space. CDC Fabien Lauer, Gérard Bloch
2014	J	`jnl`	Selective ℓ IEEE Trans. Autom. Control. Van Luong Le, Fabien Lauer, Gérard Bloch
2014	J	`jnl`	Sparse phase retrieval via group-sparse optimization. CoRR Fabien Lauer, Henrik Ohlsson
2013	J	`jnl`	Finding sparse solutions of systems of polynomial equations via group-sparsity optimization. CoRR Fabien Lauer, Henrik Ohlsson
2013	C	`conf`	Identification of MIMO switched state-space models. ACC Laurent Bako, Van Luong Le, Fabien Lauer, Gérard Bloch
2013	C	`conf`	Identification of linear hybrid systems: A geometric approach. ACC Van Luong Le, Fabien Lauer, Gérard Bloch
2013	—	`conf`	Learning nonlinear hybrid systems: from sparse optimization to support vector regression. HSCC Van Luong Le, Fabien Lauer, Laurent Bako, Gérard Bloch
2012	—	`conf`	Cascading Discriminant and Generative Models for Protein Secondary Structure Prediction. PRIB Fabienne Thomarat, Fabien Lauer, Yann Guermeur
2012	—	`conf`	Learning smooth models of nonsmooth functions via convex optimization. MLSP Fabien Lauer, Van Luong Le, Gérard Bloch
2011	J	`jnl`	A continuous optimization framework for hybrid system identification. Autom. Fabien Lauer, Gérard Bloch, René Vidal
2011	J	`jnl`	MSVMpack: A Multi-Class Support Vector Machine Package. J. Mach. Learn. Res. Fabien Lauer, Yann Guermeur
2011	J	`jnl`	Reduced-Size Kernel Models for Nonlinear Hybrid System Identification. IEEE Trans. Neural Networks Van Luong Le, Gérard Bloch, Fabien Lauer
2010	—	`conf`	Nonlinear hybrid system identification with kernel models. CDC Fabien Lauer, Gérard Bloch, René Vidal
2009	A*	`conf`	Spectral clustering of linear subspaces for motion segmentation. ICCV Fabien Lauer, Christoph Schnörr
2008	J	`jnl`	Incorporating prior knowledge in support vector machines for classification: A review. Neurocomputing Fabien Lauer, Gérard Bloch
2008	J	`jnl`	Incorporating prior knowledge in support vector regression. Mach. Learn. Fabien Lauer, Gérard Bloch
2008	—	`ch.`	On Learning Machines for Engine Control. Computational Intelligence in Automotive Applications Gérard Bloch, Fabien Lauer, Guillaume Colin
2008	J	`jnl`	Support vector regression from simulation data and few experimental samples. Inf. Sci. Gérard Bloch, Fabien Lauer, Guillaume Colin, Yann Chamaillard
2008	—	`conf`	Switched and PieceWise Nonlinear Hybrid System Identification. HSCC Fabien Lauer, Gérard Bloch
2007	J	`jnl`	A trainable feature extractor for handwritten digit recognition. Pattern Recognit. Fabien Lauer, Ching Y. Suen, Gérard Bloch
2006	J	`jnl`	Ho-Kashyap classifier with early stopping for regularization. Pattern Recognit. Lett. Fabien Lauer, Gérard Bloch
2004	—	`conf`	Ho-Kashyap with Early Stopping Versus Soft Margin SVM for Linear Classifiers - An Application. ISNN (1) Fabien Lauer, Mohamed Bentoumi, Gérard Bloch, Gilles Millerioux, Patrice Aknin