Valentina Zantedeschi
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2010 – today
- 2019
- [i7]Valentina Zantedeschi, Aurélien Bellet, Marc Tommasi:
Communication-Efficient and Decentralized Multi-Task Boosting while Learning the Collaboration Graph. CoRR abs/1901.08460 (2019) - [i6]Léo Gautheron, Pascal Germain, Amaury Habrard, Emilie Morvant, Marc Sebban, Valentina Zantedeschi:
Learning Landmark-Based Ensembles with Random Fourier Features and Gradient Boosting. CoRR abs/1906.06203 (2019) - [i5]Valentina Zantedeschi, Fabrizio Falasca, Alyson Douglas, Richard Strange, Matt J. Kusner, Duncan Watson-Parris:
Cumulo: A Dataset for Learning Cloud Classes. CoRR abs/1911.04227 (2019) - 2018
- [b1]Valentina Zantedeschi:
A Unified View of Local Learning : Theory and Algorithms for Enhancing Linear Models. (Une Vue Unifiée de l'Apprentissage Local : Théorie et Algorithmes pour l'Amélioration de Modèles Linéaires). University of Lyon, France, 2018 - [c4]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Fast and Provably Effective Multi-view Classification with Landmark-Based SVM. ECML/PKDD (2) 2018: 193-208 - [i4]Maria-Irina Nicolae, Mathieu Sinn, Tran Ngoc Minh, Ambrish Rawat, Martin Wistuba, Valentina Zantedeschi, Ian M. Molloy, Benjamin Edwards:
Adversarial Robustness Toolbox v0.2.2. CoRR abs/1807.01069 (2018) - 2017
- [c3]Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat:
Efficient Defenses Against Adversarial Attacks. AISec@CCS 2017: 39-49 - [i3]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
L3-SVMs: Landmarks-based Linear Local Support Vectors Machines. CoRR abs/1703.00284 (2017) - [i2]Valentina Zantedeschi, Maria-Irina Nicolae, Ambrish Rawat:
Efficient Defenses Against Adversarial Attacks. CoRR abs/1707.06728 (2017) - 2016
- [c2]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Metric Learning as Convex Combinations of Local Models with Generalization Guarantees. CVPR 2016: 1478-1486 - [c1]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
beta-risk: a New Surrogate Risk for Learning from Weakly Labeled Data. NIPS 2016: 4358-4366 - [i1]Valentina Zantedeschi, Rémi Emonet, Marc Sebban:
Lipschitz Continuity of Mahalanobis Distances and Bilinear Forms. CoRR abs/1604.01376 (2016)
Coauthor Index

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