Machine Learning (Semi-Supervised Learning in particular)
Graphical Models (Conditional Random Fields in particular)
Model Selection and Sparse Models
Game Theory
Publications
N. Sokolovska, O. Teytaud, M. Milone. Q-Learning with Double Progressive Widening: Application to Robotics. International Conference on Neural Information Processing (ICONIP), 2011. Accepted.
N. Sokolovska. Aspects of Semi-Supervised and Active Learning in Conditional Random Fields. European Conference on Machine Learning (ECML), 2011. Accepted.
A. Couëtoux, J.-B. Hoock, N. Sokolovska, O. Teytaud, N. Bonnard. Continuous Upper Confidence Trees. LION, 5th International Conference on Learning and Intelligent Optimization. Accepted. HAL (pdf)
R. Coulom, P. Rolet, N. Sokolovska, O. Teytaud. Handling Expensive Optimization with Large Noise. Foundations of Genetic Algorithms, 2011. Accepted. HAL (pdf)
R. Gaudel, J.-B. Hoock, J. Pérez, N. Sokolovska,
O. Teytaud. A Principled Method for Exploiting Opening Books. In
Proc. of International Conference on Computers and Games 2010 (CG10). pdf
N. Sokolovska, T. Lavergne, O. Cappé, F. Yvon. Efficient learning of sparse conditional random fields for supervised sequence labelling. To appear in IEEE J. Sel. Topics Signal Process., 2010. pdf
N. Sokolovska, O. Cappé, F. Yvon. Sélection de
caractéristiques pour les champs aléatoires
conditionnels par pénalisation L1. Traitement Automatique des langues, 2010. Numéro spécial, Apprentissage automatique pour le TAL. pdf
N. Sokolovska, O. Cappé, and F. Yvon. The asymptotics of semi-supervised learning in discriminative probabilistic models. In A. McCallum and S. Roweis, editors, Proc. Int. Conf. Machine Learning (ICML), pages 984-991. Omnipress, 2008. pdf
N. Sokolovska, O.Cappé, and F. Yvon. Analyse asymptotique de l'apprentissage semi-supervisé pour les modèles probabilistes discriminants. In Proceedings of Conférence d'Apprentissage (CAP), Porquerolles, France, 2008.
A. Rauber, M. Dittenbach, H. Berger, A. Pesenhofer, G. Pölzlbauer, N. Sokolovska, R. Mayer, T. Lidy, R. Neumayer.
Detecting and exploring semantic concepts in unstructured data, Proceedings of the International Symposium on Semantic Systems
in the Knowledge Society - Challenges&Opportunities, OCG, 2005. pdf
N. Sokolovska. Text processing according to the parts of speech based on the SOMLib Digital Library and TreeTagger.
In J. Paralič and A. Rauber, editors, Proc. Workshop on Data Analysis
(WDA), pages 97 - 108, Elfa Academic Press, Košice, 2004.
Contributions to the estimation of probabilistic discriminative models:
semi-supervised learning and feature selection. PhD Thesis, pdf. Presentation slides, pdf
