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Machine Learning for Combinatorial Optimization (ML4CO)
Christopher Morris · Maxime Gasse


Pseudo workshop for Competition Track and Gather Town support

Author Information

Christopher Morris (Mila, McGill University)
Maxime Gasse (Polytechnique Montréal)

I am a machine learning researcher within the Data Science for Real-Time Decision Making Canada Excellence Research Chair (CERC), and also part of the MILA research institute on artificial intelligence in Montréal, Canada. The question that motivates my research is: can machines think? My broad research interests include: - probabilistic graphical models and their theoretical properties (my PhD Thesis) - structured prediction, in particular multi-label classification - combinatorial optimization using machine learning (see our Ecole library) - causality, specifically in the context of reinforcement learning

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