The MILES project-team gather researchers with expertise in theoretical computer science, applied mathematics and game theory. By combining their knowledge, the MILES researchers aim at making significant advances in the field of machine learning and data science, in terms of theoretical foundations as well as in concrete applications.
The MILES project-team is hosted by the LAMSADE research unit at Université Paris Dauphine-PSL, France.
The team is also heavily involved in the Paris Artificial Research Intelligence Institute (prAIrie).
Research interests
- Theoretical foundations
- Trustworthy machine learning
- Robustness against adversarial attacks
- Privacy preserving models (e.g. differential privacy)
- Explainable artificial intelligence
- Causal inference
- Sparse models
- Online learning and game theory
- Reinforcement learning
- Theory of deep learning
- Trustworthy machine learning
- Algorithmic aspects
- Compact and energy efficient deep neural networks
- High dimensional data streams
- Optimization methods
- Sketching and clustering
- Structured representations for deep learning
- Applications
- Health
- Game playing
- Robotics
- Computer vision
- Art & humanities
Contact
Address:
- Université Paris Dauphine-PSL, LAMSADE
- Place du Maréchal de Lattre de Tassigny,
- 75 775 PARIS CEDEX 16, FRANCE
Metro line 2 Porte Dauphine, RER line C Avenue Foch.