batyleo.github.io - Léo Baty

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Léo Baty PhD student in Operations Research and Machine Learning

I am a second year PhD student at CERMICS under the supervision of Axel Parmentier , in collaboration with Air France.

Combinatorial optimization (CO) layers in machine learning (ML) pipelines are a powerful tool to tackle data-driven decision tasks, but they come with two main challenges. First, the solution of a CO problem often behaves as a piecewise constant function of its objective parameters. Given that ML pipelines are typically trained using stochastic gradient descent, the absence of slope information is very detrimental. Second, standard ML losses do not work well in combinatorial settings. A growing body of rese

Links to batyleo.github.io (2)

• gdalle.github.io Guillaume Dalle
• axelparmentier.github.io Axel Parmentier