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	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 45 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM
	hal-00981575v2 Communication dans un congrès Tomáš Kocák, Michal Valko, Rémi Munos, Shipra Agrawal. Spectral Thompson Sampling AAAI Conference on Artificial Intelligence, Jul 2014, Québec City, Canada
	hal-01045036v1 Communication dans un congrès Tomáš Kocák, Michal Valko, Rémi Munos, Branislav Kveton, Shipra Agrawal. Spectral Bandits for Smooth Graph Functions with Applications in Recommender Systems AAAI Workshop on Sequential Decision-Making with Big Data, Jul 2014, Québec City, Canada
	hal-00978637v1 Communication dans un congrès Philippe Preux, Rémi Munos, Michal Valko. Bandits attack function optimization IEEE Congress on Evolutionary Computation, Jul 2014, Beijing, China
	hal-00646451v1 Mémoires d'étudiants -- Hal-inria+ Michal Valko. Evolving Neural Networks for Statistical Decision Theory Machine Learning [stat.ML]. 2005
	hal-00643349v1 Communication dans un congrès Michal Valko, Richard Pelikan, Milos Hauskrecht. Learning predictive models for combinations of heterogeneous proteomic data sources AMIA Summit on Translational Bioinformatics, Mar 2008, San Francisco, United States. 2008
	hal-00641081v1 Communication dans un congrès Michal Valko, Branislav Kveton, Hamed Valizadegan, Gregory Cooper, Milos Hauskrecht. Conditional Anomaly Detection with Soft Harmonic Functions Proceedings of the 2011 IEEE International Conference on Data Mining, Dec 2011, Vancouver, Canada
	hal-00642891v1 Communication dans un congrès Branislav Kveton, Michal Valko, Ali Rahimi, Ling Huang. Semi-Supervised Learning with Max-Margin Graph Cuts International Conference on Artificial Intelligence and Statistics, May 2010, Chia Laguna, Sardinia, Italy
	hal-00643221v1 Communication dans un congrès Michal Valko, Gregory Cooper, Amy Seybert, Shyam Visweswaran, Melissa Saul et al. Conditional anomaly detection methods for patient-management alert systems Workshop on Machine Learning in Health Care Applications in The 25th International Conference on Machine Learning, Jul 2008, Helsinki, Finland
	hal-00642999v1 Communication dans un congrès Branislav Kveton, Michal Valko, Mathai Phillipose, Ling Huang. Online Semi-Supervised Perception: Real-Time Learning without Explicit Feedback 4th IEEE Online Learning for Computer Vision Workshop, Jun 2010, San Francisco, United States. 2010, <10.1109/CVPRW.2010.5543877>
	hal-00643244v1 Communication dans un congrès Michal Valko, Milos Hauskrecht. Distance Metric Learning for Conditional Anomaly Detection Twenty-First International Florida Artificial Intelligence Research Society Conference, May 2008, Coconut Grove, Florida, United States. AAAI Press
	hal-00643495v1 Communication dans un congrès Wendy Chapman, John Dowling, Gregory F Cooper, Milos Hauskrecht, Michal Valko. A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory Syndrome International Society for Disease Surveillance, Oct 2006, Baltimore, United States
	hal-00643496v1 Chapitre d'ouvrage Milos Hauskrecht, Richard Pelikan, Michal Valko, James Lyons-Weiler. Feature Selection and Dimensionality Reduction in Genomics and Proteomics Werner Dubitzky, Martin Granzow and Daniel Berrar. Fundamentals of Data Mining in Genomics and Proteomics, Springer, pp.149-172, 2006, <10.1007/978-0-387-47509-7>
	hal-00643123v1 Communication dans un congrès Michal Valko, Milos Hauskrecht. Feature importance analysis for patient management decisions 13th International Congress on Medical Informatics MEDINFO 2010, Sep 2010, Cape Town, South Africa. IOS Press, pp.861-865, 2010, MEDINFO 2010 - Proceedings of the 13th World Congress on Medical Informatics. <10.3233/978-1-60750-588-4-861>
	hal-01544929v1 Communication dans un congrès Daniele Calandriello, Alessandro Lazaric, Michal Valko. Large-scale semi-supervised learning with online spectral graph sparsification Resource-Efficient Machine Learning workshop at International Conference on Machine Learning, Jul 2015, Lille, France
	hal-01177446v1 Communication dans un congrès Julien Audiffren, Michal Valko, Alessandro Lazaric, Mohammad Ghavamzadeh. MESSI: Maximum Entropy Semi-Supervised Inverse Reinforcement Learning NIPS Workshop on Novel Trends and Applications in Reinforcement Learning, 2014, Montreal, Canada
	hal-00747921v2 Communication dans un congrès Michal Valko, Mohammad Ghavamzadeh, Alessandro Lazaric. Semi-Supervised Apprenticeship Learning Marc Peter Deisenroth and Csaba Szepesvári and Jan Peters. The 10th European Workshop on Reinforcement Learning (EWRL 2012), Jun 2012, Edinburgh, United Kingdom. Sparc, 24, pp.131-141, The 10th European Workshop on Reinforcement Learning
	hal-01079354v2 Communication dans un congrès Alexandra Carpentier, Michal Valko. Extreme bandits Neural Information Processing Systems, Dec 2014, Montréal, Canada
	hal-00826946v1 Communication dans un congrès Michal Valko, Nathan Korda, Rémi Munos, Ilias Flaounas, Nello Cristianini. Finite-Time Analysis of Kernelised Contextual Bandits Uncertainty in Artificial Intelligence, Jul 2013, Bellevue, United States
	hal-00749197v2 Communication dans un congrès Branislav Kveton, Michal Valko. Learning from a Single Labeled Face and a Stream of Unlabeled Data 10th IEEE International Conference on Automatic Face and Gesture Recognition, Apr 2013, Shanghai, China
	hal-01079351v2 Communication dans un congrès Tomáš Kocák, Gergely Neu, Michal Valko, Rémi Munos. Efficient learning by implicit exploration in bandit problems with side observations Neural Information Processing Systems, Dec 2014, Montréal, Canada
	hal-01079355v2 Communication dans un congrès Gergely Neu, Michal Valko. Online combinatorial optimization with stochastic decision sets and adversarial losses Neural Information Processing Systems, Dec 2014, Montréal, Canada
	hal-00789606v2 Communication dans un congrès Michal Valko, Alexandra Carpentier, Rémi Munos. Stochastic Simultaneous Optimistic Optimization International Conference on Machine Learning, Jun 2013, Atlanta, United States
	hal-00986818v3 Communication dans un congrès Michal Valko, Rémi Munos, Branislav Kveton, Tomáš Kocák. Spectral Bandits for Smooth Graph Functions International Conference on Machine Learning, May 2014, Beijing, China
	hal-00642361v1 Communication dans un congrès Michal Valko, Branislav Kveton, Huang Ling, Ting Daniel. Online Semi-Supervised Learning on Quantized Graphs Uncertainty in Artificial Intelligence, Jun 2010, Catalina Island, United States
	hal-00642313v1 Communication dans un congrès Michal Valko, Hamed Valizadegan, Branislav Kveton, Gregory Cooper, Milos Hauskrecht. Conditional Anomaly Detection Using Soft Harmonic Functions: An Application to Clinical Alerting The 28th International Conference on Machine Learning Workshop on Machine Learning for Global Challenges, Jun 2011, Seattle, United States. 2011
	hal-01343674v1 Communication dans un congrès Daniele Calandriello, Alessandro Lazaric, Michal Valko. Analysis of Nyström method with sequential ridge leverage score sampling Uncertainty in Artificial Intelligence, Jun 2016, New York City, United States
	tel-01359757v1 HDR Michal Valko. Bandits on graphs and structures Machine Learning [stat.ML]. École normale supérieure de Cachan - ENS Cachan, 2016
	hal-01303377v1 Communication dans un congrès Tomáš Kocák, Gergely Neu, Michal Valko. Online learning with noisy side observations International Conference on Artificial Intelligence and Statistics, May 2016, Seville, Spain
	hal-01322168v1 Communication dans un congrès Akram Erraqabi, Michal Valko, Alexandra Carpentier, Odalric-Ambrym Maillard. Pliable rejection sampling International Conference on Machine Learning, Jun 2016, New York City, United States
	hal-01320588v1 Communication dans un congrès Tomáš Kocák, Gergely Neu, Michal Valko. Online learning with Erdős-Rényi side-observation graphs Uncertainty in Artificial Intelligence, Jun 2016, New York City, United States
	1 2	Pertinence Auteur A→Z Auteur Z→A Titre A→Z Titre Z→A Date de publication croissante Date de publication décroissante Date de dépôt croissante Date de dépôt décroissante 30 résultats par page 50 résultats par page 100 résultats par page Pour les 45 documents Exporter XML-TEI BibTeX EndNote CSV PDF Export avancé... Syndication RSS ATOM

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