Welcome
I am a researcher with expertise in machine learning, neural networks, optimization, large-scale learning and statistical modeling in general. I am now at Microsoft Research in Montreal and an adjunct faculty at both McGill and UdeM.
I am a co-recipient of the
2018 Lagrange prize with Francis Bach and Mark Schmidt.
My two main interests at the moment are:
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Understanding optimization in supervised learning and reinforcement
learning from the perspective of optimizing functions (or policies)
themselves rather than parameters. Here are papers I co-authored on the
topic:
I am looking for students (MSc, PhD, postdoc) to work on the topic. If
you are interested, read the above papers and reach out to me,
mentioning which part interests you.
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Model adaptation and decentralization of power. How can we create
simpler, modular architectures, that can be adapted and reused for other
purposes, giving more control to the rightholders (thanks Shakir
Mohamed for teaching me that term)? Technical papers I coauthored in
that space are:
I am looking for a postdoc with relevant prior expertise to work on the
topic. If you are interested, send me a message with links and an
explanation to your peer-reviewed papers on the topic.
Besides purely technical topics, I am also interested in team management and organization, and in particular how to effectively address stress, ensure well-being and achieve a truly inclusive environment in research.
You can find my publications on my Google Scholar page.
Stuff
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Download my resume (updated on 2023/10)
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Email: nicolas@le-roux.name