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Covariance-adapting algorithm for semi-bandits with application to sparse outcomesConference on Learning Theory, 2020, Graz, Austria
Conference papers
hal-02876102v1
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Adaptive multi-fidelity optimization with fast learning ratesInternational Conference on Artificial Intelligence and Statistics, 2020, Palermo, Italy
Conference papers
hal-03288879v1
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Statistical efficiency of Thompson sampling for combinatorial semi-banditsNeural Information Processing Systems Conference, Dec 2020, Virtual, France
Conference papers
hal-03288983v1
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Episodic reinforcement learning in finite MDPs: Minimax lower bounds revisitedAlgorithmic Learning Theory, Mar 2021, Paris / Virtual, France
Conference papers
hal-03289004v1
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Revisiting Peng's Q(λ) for for modern reinforcement learningInternational Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers
hal-03289292v1
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Online A-optimal design and active linear regressionInternational Conference on Machine Learning, Jul 2021, Vienna / Virtual, Austria
Conference papers
hal-03289318v1
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Efficient second-order online kernel learning with adaptive embeddingNeural Information Processing Systems, 2017, Long Beach, United States
Conference papers
hal-01643961v1
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Taylor expansion policy optimizationInternational Conference on Machine Learning, 2020, Vienna, Austria
Conference papers
hal-02509561v1
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On two ways to use determinantal point processes for Monte Carlo integration -- Long versionNeurIPS 2019 - Thirty-third Conference on Neural Information Processing Systems, Jun 2019, Vancouver, Canada
Conference papers
hal-02277739v1
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Evidence-based Anomaly Detection in Clinical DomainsAnnual American Medical Informatics Association Symposium, 2007, Chicago, United States. pp.319--324
Conference papers
hal-00643401v1
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Spectral Bandits for Smooth Graph FunctionsInternational Conference on Machine Learning, May 2014, Beijing, China
Conference papers
hal-00986818v3
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Bayesian Policy Gradient and Actor-Critic AlgorithmsJournal of Machine Learning Research, 2016, 17 (66), pp.1-53
Journal articles
hal-00776608v2
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A simple dynamic bandit algorithm for hyper-parameter tuningWorkshop on Automated Machine Learning at International Conference on Machine Learning, AutoML@ICML 2019 - 6th ICML Workshop on Automated Machine Learning, Jun 2019, Long Beach, United States
Conference papers
hal-02145200v1
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Fast active learning for pure exploration in reinforcement learningInternational Conference on Machine Learning, Jul 2021, Vienna, Austria
Conference papers
hal-02906985v3
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Large-scale semi-supervised learning with online spectral graph sparsificationResource-Efficient Machine Learning workshop at International Conference on Machine Learning, Jul 2015, Lille, France
Conference papers
hal-01544929v1
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MESSI: Maximum Entropy Semi-Supervised Inverse Reinforcement LearningNIPS Workshop on Novel Trends and Applications in Reinforcement Learning, 2014, Montreal, Canada
Conference papers
hal-01177446v1
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Spectral Bandits for Smooth Graph Functions with Applications in Recommender SystemsAAAI Workshop on Sequential Decision-Making with Big Data, Jul 2014, Québec City, Canada
Conference papers
hal-01045036v1
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Extreme banditsNeural Information Processing Systems, Dec 2014, Montréal, Canada
Conference papers
hal-01079354v2
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Efficient learning by implicit exploration in bandit problems with side observationsNeural Information Processing Systems, Dec 2014, Montréal, Canada
Conference papers
hal-01079351v2
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Conditional anomaly detection methods for patient-management alert systemsWorkshop on Machine Learning in Health Care Applications in The 25th International Conference on Machine Learning, Jul 2008, Helsinki, Finland
Conference papers
hal-00643221v1
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Learning predictive models for combinations of heterogeneous proteomic data sourcesAMIA Summit on Translational Bioinformatics, Mar 2008, San Francisco, United States
Conference papers
hal-00643349v1
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Blazing the trails before beating the path: Sample-efficient Monte-Carlo planningNeural Information Processing Systems, Dec 2016, Barcelona, Spain
Conference papers
hal-01389107v3
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Black-box optimization of noisy functions with unknown smoothnessNeural Information Processing Systems, 2015, Montréal, Canada
Conference papers
hal-01222915v4
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Improved large-scale graph learning through ridge spectral sparsificationInternational Conference on Machine Learning, Jul 2018, Stockholm, Sweden
Conference papers
hal-01810980v1
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A Comparison of Chief Complaints and Emergency Department Reports for Identifying Patients with Acute Lower Respiratory SyndromeInternational Society for Disease Surveillance, Oct 2006, Baltimore, United States
Conference papers
hal-00643495v1
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Near-linear time Gaussian process optimization with adaptive batching and resparsificationInternational Conference on Machine Learning, 2020, Vienna, Austria
Conference papers
hal-02950066v1
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A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumptionAlgorithmic Learning Theory, 2019, Chicago, United States
Conference papers
hal-01885368v2
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Exact sampling of determinantal point processes with sublinear time preprocessingNeural Information Processing Systems, 2019, Vancouver, Canada
Conference papers
hal-02387524v1
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Monte-Carlo tree search as regularized policy optimizationInternational Conference on Machine Learning, 2020, Vienna, Austria
Conference papers
hal-02950136v1
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Bootstrap Your Own Latent: A new approach to self-supervised learningNeural Information Processing Systems, 2020, Montréal, Canada
Conference papers
hal-02869787v2
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