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
Address:
- 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.