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.

Topics

• 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

Contact

You can visit us at:

• Université Paris Dauphine, LAMSADE Laboratory
• Place du Maréchal de Lattre de Tassigny,
• 75 775 PARIS CEDEX 16, FRANCE