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Emilie Kaufmann

  1. Thompson Sampling: An Asymptotically Optimal Finite Time Analysis
    2012/05/18 by Emilie Kaufmann, Nathaniel Korda, Kaufmann, Emilie +3 · 13 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
  2. What Doubling Tricks Can and Can't Do for Multi-Armed Bandits
    2018/03/19 by Lilian Besson, Emilie Kaufmann, Besson, Lilian +1 · 10 citations
    Decision Sciences · Engineering · Computer Science · #Advanced Bandit Algorithms Research #Smart Grid Energy Management #Reinforcement Learning in Robotics
  3. Adaptive Algorithms for Relaxed Pareto Set Identification
    2023/07/01 by Cyrille Kone, Emilie Kaufmann, Kone, Cyrille +3 · 4 citations
    Decision Sciences · Physics and Astronomy · #68T05 #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  4. Episodic Reinforcement Learning in Finite MDPs: Minimax Lower Bounds Revisited
    2020/10/07 by Omar Darwiche Domingues, Pierre Ménard, Domingues, Omar Darwiche +5 · 4 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Evolutionary Algorithms and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  5. Planning in Markov Decision Processes with Gap-Dependent Sample Complexity
    2020/06/10 by Anders Jönsson, Emilie Kaufmann, Jonsson, Anders +9 · 2 citations
    Computer Science · #AI-based Problem Solving and Planning #Advanced Database Systems and Queries #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  6. Fast active learning for pure exploration in reinforcement learning
    2020/07/27 by Pierre Ménard, Omar Darwiche Domingues, Ménard, Pierre +9 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Reinforcement Learning in Robotics
  7. Monte-Carlo Tree Search by Best Arm Identification
    2017/06/09 by Emilie Kaufmann, Wouter M. Koolen, Kaufmann, Emilie +1 · 2 citations
    Computer Science · Decision Sciences · Economics, Econometrics and Finance · #Advanced Bandit Algorithms Research #Artificial Intelligence in Games #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sports Analytics and Performance
  8. Corrupt Bandits for Preserving Local Privacy
    2017/08/16 by Pratik Gajane, Gajane, Pratik, Tanguy Urvoy +3 · 2 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
  9. Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling
    2019/12/06 by Cindy Trinh, Trinh, Cindy, Emilie Kaufmann +5 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Sparse and Compressive Sensing Techniques
  10. Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits
    2019/02/05 by Lilian Besson, Emilie Kaufmann, Besson, Lilian +3 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Search Problems #Statistics Theory (math.ST)
  11. Pure Exploration in Infinitely-Armed Bandit Models with Fixed-Confidence
    2018/03/13 by Maryam Aziz, Jesse Anderton, Aziz, Maryam +5 · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  12. On Multi-Armed Bandit Designs for Dose-Finding Clinical Trials
    2019/03/17 by Maryam Aziz, Emilie Kaufmann, Aziz, Maryam +3 · 1 citation
    Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods in Clinical Trials
  13. Optimistic PAC Reinforcement Learning: the Instance-Dependent View
    2022/07/12 by Andrea Tirinzoni, Aymen Al-Marjani, Tirinzoni, Andrea +3 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Reinforcement Learning in Robotics
  14. Finding good policies in average-reward Markov Decision Processes without prior knowledge
    2024/05/27 by Adrienne Tuynman, Tuynman, Adrienne, Rémy Degenne +3 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Receptor Mechanisms and Signaling #Formal Methods in Verification
  15. Constrained Pareto Set Identification with Bandit Feedback
    2025/06/09 by Cyrille Kone, Kone, Cyrille, Emilie Kaufmann +3 · 1 citation
    Decision Sciences · Engineering · Physics and Astronomy · #Advanced Bandit Algorithms Research #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  16. Pareto Set Identification With Posterior Sampling
    2024/11/07 by Cyrille Kone, Marc Jourdan, Kone, Cyrille +3 · 1 citation
    Computer Science · #Machine Learning and Algorithms #Advanced Multi-Objective Optimization Algorithms #Bayesian Modeling and Causal Inference