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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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Parallel Higher Order Alternating Least Square for Tensor Recommender System AAAI 2017 - Thirty-First AAAI Conference on Artificial Intelligence, Feb 2017, San Francisco, United States
Conference papers
hal-01628298v1
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Linear Thompson Sampling RevisitedAISTATS 2017 - 20th International Conference on Artificial Intelligence and Statistics, Apr 2017, Fort Lauderdale, United States
Conference papers
hal-01493561v1
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Transfer from Multiple MDPsNIPS - Twenty-Fifth Annual Conference on Neural Information Processing Systems, Dec 2011, Granada, Spain
Conference papers
hal-00772620v1
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Upper-Confidence-Bound Algorithms for Active Learning in Multi-Armed BanditsALT - the 22nd conference on Algorithmic Learning Theory, Oct 2011, Espoo, Finland
Conference papers
hal-00659696v1
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Finite-sample analysis of Lasso-TDInternational Conference on Machine Learning, 2011, United States
Conference papers
hal-00830149v1
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Hybrid Stochastic-Adversarial On-line LearningCOLT 2009 - 22nd Conference on Learning Theory, Jun 2009, Montreal, Canada
Conference papers
inria-00392524v1
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Best-Arm Identification in Linear BanditsNIPS - Advances in Neural Information Processing Systems 27, Dec 2014, Montreal, Canada
Conference papers
hal-01075701v1
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Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control ProblemsProceedings of Machine Learning Research, 2018, Proceedings of ICML 2018, 80
Journal articles
hal-02767726v1
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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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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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Direct Policy Iteration with DemonstrationsIJCAI - 24th International Joint Conference on Artificial Intelligence, Jul 2015, Buenos Aires, Argentina
Conference papers
hal-01237659v1
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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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Reinforcement Learning of POMDPs using Spectral MethodsProceedings of the 29th Annual Conference on Learning Theory (COLT2016), Jun 2016, New York City, United States
Conference papers
hal-01322207v1
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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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Classification-based Policy Iteration with a CriticInternational Conference on Machine Learning (ICML), Jun 2011, Seattle, United States. pp.1049-1056
Conference papers
hal-00644935v1
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Finite-Sample Analysis of Bellman Residual MinimizationAsian Conference on Machine Learning, 2010, Japan
Conference papers
hal-00830212v1
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LSPI with Random Projections[Technical Report] 2010
Reports
inria-00530762v1
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Multi-Bandit Best Arm Identification2011
Reports
hal-00632523v3
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A Truthful Learning Mechanism for Contextual Multi-Slot Sponsored Search Auctions with Externalities[Research Report] 2012
Reports
hal-00662549v1
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Finite-Sample Analysis of LSTDICML - 27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. pp.615-622
Conference papers
inria-00482189v1
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Regret Minimization in MDPs with Options without Prior Knowledge NIPS 2017 - Neural Information Processing Systems, Dec 2017, Long Beach, United States. pp.1-36
Conference papers
hal-01649082v1
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Second-Order Kernel Online Convex Optimization with Adaptive SketchingInternational Conference on Machine Learning, 2017, Sydney, Australia
Conference papers
hal-01537799v1
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Bayesian Multi-Task Reinforcement LearningICML - 27th International Conference on Machine Learning, Jun 2010, Haifa, Israel. pp.599-606
Conference papers
inria-00475214v1
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Risk-Aversion in Multi-armed BanditsNIPS - Twenty-Sixth Annual Conference on Neural Information Processing Systems, Dec 2012, Lake Tahoe, United States
Conference papers
hal-00772609v1
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Gaussian process optimization with adaptive sketching: Scalable and no regretConference on Learning Theory, 2019, Phoenix, United States
Conference papers
hal-02144311v1
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Adversarial Attacks on Linear Contextual Bandits2020
Preprints, Working Papers, ...
hal-02979184v1
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Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes32nd Conference on Neural Information Processing Systems, Dec 2018, Montréal, Canada
Conference papers
hal-01941220v1
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Fighting Boredom in Recommender Systems with Linear Reinforcement LearningNeural Information Processing Systems, Dec 2018, Montreal, Canada. ⟨10.5555/3326943.3327105⟩
Conference papers
hal-01915468v1
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Sequential Transfer in Multi-armed Bandit with Finite Set of ModelsNIPS - Advances in Neural Information Processing Systems 25 - 2013, Dec 2013, Lake Tahoe, United States
Conference papers
hal-00924025v1
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