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All publications by Liva Ralaivola
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Entropy-Based Concentration Inequalities for Dependent Variables
Liva Ralaivola and Massih-reza Amini
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Cornering Stationary and Restless Mixing Bandits with Remix-UCB
Julien Audiffren and Liva Ralaivola
Advances in Neural Information Processing Systems 28, 2015


Confusion-Based Online Learning and a Passive-Aggressive Scheme
Liva Ralaivola
Advances in Neural Information Processing Systems 25, 2012


PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification
Emilie Morvant, Sokol Koço and Liva Ralaivola
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012


Stochastic Low-Rank Kernel Learning for Regression
Pierre Machart, Thomas Peel, Sandrine Anthoine, Liva Ralaivola and Hervé Glotin
Proceedings of the 28th International Conference on Machine Learning (ICML-11), 2011


Empirical Bernstein Inequalities for U-Statistics
Thomas Peel, Sandrine Anthoine and Liva Ralaivola
Advances in Neural Information Processing Systems 23, 2010


Multiple indefinite kernel learning with mixed norm regularization
Matthieu Kowalski, Marie Szafranski and Liva Ralaivola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Grammatical inference as a principal component analysis problem
Rapha\"el Bailly, Françcois Denis and Liva Ralaivola
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Chromatic PAC-Bayes Bounds for Non-IID Data
Liva Ralaivola, Marie Szafranski and Guillaume Stempfel
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics (AISTATS-09), 2009


CN = CPCN
Liva Ralaivola, Françcois Denis and Christophe N. Magnan
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Efficient learning of Naive Bayes classifiers under class-conditional classification noise
Françcois Denis, Christophe N. Magnan and Liva Ralaivola
Proceedings of the 23th International Conference on Machine Learning (ICML-06), 2006


Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
Liva Ralaivola and Florence D'alché-buc
Advances in Neural Information Processing Systems 16, 2003