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Entropy-Based Concentration Inequalities for Dependent Variables

Liva Ralaivola , Massih-Reza Amini
International Conference on Machine Learning, Jul 2015, Lille, France
Conference papers hal-01211199v1

Apprentissage incrémental local de machines à vecteurs de support

Liva Ralaivola , Florence d'Alché-Buc
Conférence Apprentissage CAP 2001, 2001, Grenoble, France
Conference papers hal-01571813v1
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Confusion Matrix Stability Bounds for Multiclass Classification

Pierre Machart , Liva Ralaivola
Preprints, Working Papers, ... hal-00674779v2
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Empirical Bernstein Inequalities for U-Statistics

Thomas Peel , Sandrine Anthoine , Liva Ralaivola
Neural Information Processing Systems (NIPS), Dec 2010, Vancouver, Canada. pp.1903-1911
Conference papers hal-00634710v1
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Learning Kernel Perceptrons on Noisy Data and Random Projections

Guillaume Stempfel , Liva Ralaivola
Preprints, Working Papers, ... hal-00137941v1
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Online Learning of Task-specific Word Representations with a Joint Biconvex Passive-Aggressive Algorithm

Pascal Denis , Liva Ralaivola
European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.775 - 784, ⟨10.18653/v1/E17-1073⟩
Conference papers hal-01590594v1

Reward-­based online learning in non­stationary environments: adapting a P300­-speller with a ``Backspace’’ key

Emmanuel Daucé , Timothée Proix , Liva Ralaivola
IJCNN 2015, Jul 2015, Killarney, Ireland
Conference papers hal-01196513v1
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Risk upper bounds for general ensemble methods with an application to multiclass classification

François Laviolette , Emilie Morvant , Liva Ralaivola , Jean-Francis Roy
Neurocomputing, 2017, 219, pp.15 - 25. ⟨10.1016/j.neucom.2016.09.016⟩
Journal articles hal-01774837v1

Incremental Learning Algorithms for Classification and Regression: local strategies

Florence d'Alché-Buc , Liva Ralaivola
CASYS 2001 - Fifth International Conference on COMPUTING ANTICIPATORY SYSTEMS, Aug 2001, Liege, Belgium. pp.320-329, ⟨10.1063/1.1503700⟩
Conference papers hal-01570821v1
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Recovery and convergence rate of the Frank-Wolfe Algorithm for the m-EXACT-SPARSE Problem

Farah Cherfaoui , Valentin Emiya , Liva Ralaivola , Sandrine Anthoine
IEEE Transactions on Information Theory, 2019, 65 (11)
Journal articles hal-01919761v2

Time Series Filtering, Smoothing and Learning using the Kernel Kalman Filter

Liva Ralaivola , Florence d'Alché-Buc
Proceedings of IEEE International Joint Conference on Neural Networks 2005 (IJCNN 2005), 2005, Canada. pp.1449--1454, ⟨10.1109/IJCNN.2005.1556088⟩
Conference papers hal-00341953v1
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Graph-based inter-subject pattern analysis of fMRI data

Sylvain Takerkart , Guillaume Auzias , Bertrand Thirion , Liva Ralaivola
PLoS ONE, 2014, 10.1371/journal.pone.0104586. ⟨10.1371/journal.pone.0104586⟩
Journal articles hal-01027769v1
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Dissimilarity Measure Machines

Alain Rakotomamonjy , Abraham Traoré , Maxime Berar , Rémi Flamary , Nicolas Courty et al.
Preprints, Working Papers, ... hal-01717940v2
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Greedy Methods, Randomization Approaches, and Multiarm Bandit Algorithms for Efficient Sparsity-Constrained Optimization

Alain Rakotomamonjy , Sokol Koço , Liva Ralaivola
IEEE Transactions on Neural Networks and Learning Systems, 2017, 28 (11), pp.2789-2802. ⟨10.1109/TNNLS.2016.2600243⟩
Journal articles hal-01774838v1
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Empirical Bernstein Inequality for Martingales : Application to Online Learning

Thomas Peel , Sandrine Anthoine , Liva Ralaivola
Preprints, Working Papers, ... hal-00879909v1
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QuicK-means: Acceleration of K-means by learning a fast transform

Luc Giffon , Valentin Emiya , Hachem Kadri , Liva Ralaivola
Machine Learning, 2021, Machine Learning, 110, pp.881-905. ⟨10.1007/s10994-021-05965-0⟩
Journal articles hal-02174845v4
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Quantum bandits

Balthazar Casalé , Giuseppe Di Molfetta , Hachem Kadri , Liva Ralaivola
Quantum Machine Intelligence, 2020, 2 (1), ⟨10.1007/s42484-020-00024-8⟩
Journal articles hal-03118185v1
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Multiple Subject Learning for Inter-Subject Prediction

Sylvain Takerkart , Liva Ralaivola
4TH International Workshop on Pattern Recognition in Neuroimaging (PRNI), Jun 2014, Tübingen, Germany. pp 9-12
Conference papers hal-01001987v1
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Stochastic Low-Rank Kernel Learning for Regression

Pierre Machart , Thomas Peel , Liva Ralaivola , Sandrine Anthoine , Hervé Glotin et al.
International Conference on Machine Learning (ICML'11), Jun 2011, Bellevue (Washington), United States. pp.969--976, ISBN : 978-1-4503-0619-5
Conference papers hal-00657837v1

Filtrage de Kalman non linéaire à l'aide de noyaux

Liva Ralaivola , Florence d'Alché-Buc
19e Symposium GRETSI sur le traitement du signal et des images, Sep 2003, Paris, France
Conference papers hal-01532250v1

Apprentissage à partir de noyaux multiples et indéfinis

Marie Szafranski , Matthieu Kowalski , Liva Ralaivola
GRETSI 2013, Sep 2013, Brest, France
Conference papers hal-00829879v1

Gene networks inference using dynamic bayesian networks

Bruno-Edouard Perrin , Liva Ralaivola , Florence d'Alché-Buc , Samuele Bottani , Aurélien Mazurie et al.
Bioinformatics, 2003, 19 (Suppl. 2), pp.138-148. ⟨10.1093/bioinformatics/btg1071⟩
Journal articles hal-01176902v1
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Greedy methods, randomization approaches and multi-arm bandit algorithms for efficient sparsity-constrained optimization

A Rakotomamonjy , S Koço , Liva Ralaivola
Preprints, Working Papers, ... hal-01182801v2
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The pharmacophore kernel for virtual screening with support vector machines

Pierre Mahé , Liva Ralaivola , Véronique Stoven , Jean-Philippe Vert
Preprints, Working Papers, ... hal-00020066v1
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Frank-Wolfe Algorithm for the Exact Sparse Problem

Farah Cherfaoui , Valentin Emiya , Liva Ralaivola , Sandrine Anthoine
iTWIST: international Traveling Workshop on Interactions between low-complexity data models and Sensing Techniques, Nov 2018, Marseille, France
Conference papers hal-01881329v1
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Partial Trace Regression and Low-Rank Kraus Decomposition

Hachem Kadri , Stéphane Ayache , Riikka Huusari , Alain Rakotomamonjy , Liva Ralaivola et al.
International Conference on Machine Learning, Jul 2020, Vienne (Online), Austria
Conference papers hal-02885339v2
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Apprentissage de SVM sur Données Bruitées

Guillaume Stempfel , Liva Ralaivola , François Denis
Preprints, Working Papers, ... hal-00256503v1
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On the Generalization of the C-Bound to Structured Output Ensemble Methods

François Laviolette , Emilie Morvant , Liva Ralaivola , Jean-Francis Roy
[Research Report] Laboratoire Hubert Curien, Université Jean Monnet Saint-Etienne; Laboratoire Informatique Fondamentale, Aix-Marseille Université; Département d'Informatique et de Génie Logiciel, Université Laval (Québec). 2015
Reports hal-01054337v2
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Bandits Dueling on Partially Ordered Sets

Julien Audiffren , Liva Ralaivola
Neural Information Processing Systems, NIPS 2017, Dec 2017, Long Beach, CA, United States
Conference papers hal-01774844v1

Applying Multiclass Bandit algorithms to call-type classification

Liva Ralaivola , Benoit Favre , Pierre Gotab , Frédéric Béchet , Géraldine Damnati et al.
IEEE Automatic Speech Recognition and Understanding Workshop (ASRU'11), 2011, Unknown, Unknown Region
Conference papers hal-01194262v1