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Conference papers5 documents

  • Xuedong Shang, Rianne de Heide, Emilie Kaufmann, Pierre Ménard, Michal Valko. Fixed-confidence guarantees for Bayesian best-arm identification. International Conference on Artificial Intelligence and Statistics, Jun 2020, Palermo, Italy. ⟨hal-02330187v2⟩
  • Rémy Degenne, Pierre Ménard, Xuedong Shang, Michal Valko. Gamification of Pure Exploration for Linear Bandits. ICML 2020 - 37th International Conference on Machine Learning, Jul 2020, Vienna, Austria. ⟨hal-02884330⟩
  • Xuedong Shang, Emilie Kaufmann, Michal Valko. General parallel optimization without a metric. Algorithmic Learning Theory, 2019, Chicago, United States. ⟨hal-02047225v2⟩
  • Xuedong Shang, Emilie Kaufmann, Michal Valko. A simple dynamic bandit algorithm for hyper-parameter tuning. Workshop 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. ⟨hal-02145200⟩
  • Xuedong Shang, Emilie Kaufmann, Michal Valko. Adaptive black-box optimization got easier: HCT only needs local smoothness. European Workshop on Reinforcement Learning, Oct 2018, Lille, France. ⟨hal-01874637⟩