Nombre de documents

11

CV de Emilie Kaufmann


Communication dans un congrès7 documents

  • Aurélien Garivier, Emilie Kaufmann. Optimal Best Arm Identification with Fixed Confidence. 29th Annual Conference on Learning Theory (COLT), Jun 2016, New York, United States. 49, 2016, JMLR Workshop and Conference Proceedings. <http://www.learningtheory.org/colt2016/>. <hal-01273838v2>
  • Aurélien Garivier, Emilie Kaufmann, Tor Lattimore. On Explore-Then-Commit Strategies. NIPS, Dec 2016, Barcelona, Spain. 29, 2016, Advances in Neural Information Processing Systems (NIPS). <hal-01322906v2>
  • Aurélien Garivier, Emilie Kaufmann, Wouter Koolen. Maximin Action Identification: A New Bandit Framework for Games. 29th Annual Conference on Learning Theory (COLT), Jun 2016, New-York, United States. 49, JMLR Workshop and Conference Proceedings. <hal-01273842v2>
  • Emilie Kaufmann, Thomas Bonald, Marc Lelarge. A Spectral Algorithm with Additive Clustering for the Recovery of Overlapping Communities in Networks. Ronald Ortner; Hans Ulrich Simon; Sandra Zilles. ALT 2016 - Algorithmic Learning Theory, Oct 2016, Bari, Italy. Springer, 9925, pp.355-370, 2016, Lecture Notes in Computer Science. <10.1007/978-3-319-46379-7_24>. <hal-01163147v2>
  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of A/B Testing. Conference on Learning Theory, Jun 2014, Barcelona, Spain. JMLR: Workshop and Conference Proceedings, 35, pp.461-481, 2014, Proceedings of The 27th Conference on Learning Theory. <http://jmlr.org/proceedings/papers/v35/>. <hal-00990254v2>
  • Nathaniel Korda, Emilie Kaufmann, Rémi Munos. Thompson sampling for one-dimensional exponential family bandits. Advances in Neural Information Processing Systems, 2013, United States. 2013. <hal-00923683>
  • Emilie Kaufmann, Nathaniel Korda, Rémi Munos. Thompson Sampling: An Asymptotically Optimal Finite Time Analysis. Algorithmic Learning Theory, Oct 2012, Lyon, France. Springer, LNCS 7568, pp.199-213, 2012. <hal-00830033>

Article dans une revue1 document

  • Emilie Kaufmann, Olivier Cappé, Aurélien Garivier. On the Complexity of Best Arm Identification in Multi-Armed Bandit Models. Journal of Machine Learning Research, Journal of Machine Learning Research, 2016, 17, pp.1-42. <hal-01024894v2>

Pré-publication, Document de travail3 documents

  • Emilie Kaufmann, Aurélien Garivier. Learning the distribution with largest mean: two bandit frameworks. 2017. <hal-01449822v2>
  • Alexander Luedtke, Emilie Kaufmann, Antoine Chambaz. Asymptotically Optimal Algorithms for Multiple Play Bandits with Partial Feedback. 2016. <hal-01338733>
  • Emilie Kaufmann. On Bayesian index policies for sequential resource allocation. 2016. <hal-01251606v2>