Cédric ARCHAMBEAU

Principal Applied Scientist - Amazon

• A Playground for Machine Learning.
• Bayesian Optimization.

Olivier BOUSQUET

Engineering Director – Google

• Why Deep Learning works? - What we know and what we still don’t understand.
• Machine Learning meets the real world - Prospects, practical challenges, open research questions.

Damien ERNST

Professor - University of Liège

The Gredor project. Redesigning the decision chain for managing distribution networks.

Laura GRIGORI

Director of Research - INRIA

• Communication avoiding algorithms for high performance computing.

Sean MEYN

Professor - University of Florida

• Reinforcement learning: hidden theory, and new super-fast algorithms.
• Balancing power with intelligent loads.

Sebastian NOWOZIN

Researcher - Microsoft Research, Cambridge, UK

Probabilistic Deep Learning: Theory and Applications of Generative-Adversarial Networks, Variational Autoencoders, and Kernel-based Scoring Rules.

Stuart RUSSELL

Professor - UC Berkeley, Adjunct Professor - University of California, San Francisco

Open-universe probability models:
Unifying logic and probability.