TUTORIAL SPEAKERS

Yoshua BENGIO

Professor – University of Montreal

Deep Learning.

Csaba SZEPESVÁRI

Professor – University of Alberta

Bandits.

Pradeep RAVIKUMAR

Associate Professor – Carnegie Mellon University

Graphical Models.

Peter RICHTÁRIK

Associate Professor – University of Edinburgh, Associate Professor – King Abdullah University of Science and Technology

Randomized Optimization Methods.

FURTHER PROMINENT SPEAKERS

Cédric ARCHAMBEAU

Principal Applied Scientist – Amazon

  • A Playground for Machine Learning.
  • Bayesian Optimization.

Olivier BOUSQUET

Engineering Director – Google

Data Science Challenges at Google.

Damien ERNST

Professor – Université de 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

Machine learning using data and prior knowledge: First-order, open-universe probabilistic languages.

GUESTS

Antoine BORDES

Research Lead at Facebook AI Research

The Future of AI: round table conversation.

Bernard SALHA

Director of R&D at EDF

Data Science for Smart Grids: round table discussion.