According to our database1, Emilie Morvant authored at least 34 papers between 2011 and 2021.
Legend:Book In proceedings Article PhD thesis Other
Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound.
Pattern Recognit. Lett., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
Multiview Boosting by Controlling the Diversity and the Accuracy of View-specific Voters.
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the Advances in Intelligent Data Analysis XVII, 2018
Risk upper bounds for general ensemble methods with an application to multiclass classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the 33nd International Conference on Machine Learning, 2016
Domain adaptation of weighted majority votes via perturbed variation-based self-labeling.
Pattern Recognit. Lett., 2015
PAC-Bayesian Theorems for Domain Adaptation with Specialization to Linear Classifiers.
Proceedings of The 38th Annual Workshop of the Austrian Association for Pattern Recognition (ÖAGM), 2014.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2014
Multilabel Structured Output Learning with Random Spanning Trees of Max-Margin Markov Networks.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Apprentissage de vote de majorité pour la classification supervisée et l'adaptation de domaine : approches PAC-Bayésiennes et combinaison de similarités. (Learning Majority Vote for Supervised Classification and Domain Adaptation: PAC-Bayesian Approaches and Similarity Combination).
PhD thesis, 2013
A PAC-Bayesian Approach for Domain Adaptation with Specialization to Linear Classifiers.
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the Asian Conference on Machine Learning, 2013
Parsimonious unsupervised and semi-supervised domain adaptation with good similarity functions.
Knowl. Inf. Syst., 2012
PAC-Bayesian Generalization Bound on Confusion Matrix for Multi-Class Classification.
Proceedings of the 29th International Conference on Machine Learning, 2012
VideoSense at TRECVID 2011: Semantic Indexing from Light Similarity Functions-based Domain Adaptation with Stacking.
Proceedings of the 2011 TREC Video Retrieval Evaluation, 2011
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011
Proceedings of the 11th IEEE International Conference on Data Mining, 2011