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.