The MILES project-team brings together researchers with backgrounds from theoretical computer science, applied mathematics and game theory. Its research interest spans a large spectrum of the field of machine learning, going from its theoretical foundations to applications.


  • Theoretical foundations
    • Trustworthy machine learning
      • Robustness against adversarial attacks
      • Privacy preserving models (e.g. differential privacy)
    • Explainable and interpretable AI
      • Causal inference
      • Sparse models
    • Online learning and game theory
    • Reinforcement learning
    • Theory of deep learning
  • Algorithmic aspects
    • Compact and energy efficient deep neural networks
    • High dimensional data streams
    • Sketching and clustering
    • Structured representations for deep learning
  • Applications
    • Health
    • Game playing
    • Robotics
    • Computer vision
    • Art & humanities


  • Université Paris Dauphine, LAMSADE Laboratory
  • Place du Maréchal de Lattre de Tassigny,
  • 75 775 PARIS CEDEX 16, FRANCE
Metro line 2 Porte Dauphine, RER line C Avenue Foch.