Sébastien Lachapelle

Ph.D. Student
Université de Montréal - DIRO
Mila Send an email


I am a second year Ph.D student supervised by Simon Lacoste-Julien and Emma Frejinger. I have graduated from Université de Montréal with a Bachelor's degree in Mathematics and Economics. I now work on causal structure learning, representation learning and ML applied to operations research. More details can be found in my resume.

Link to my Google scholar.


Publications & Preprints



Orals & Posters


  • Science Talk at Element AI (2020)

    “Learning Causal Structures via Gradient-Based Optimization”, Montreal, Quebec, Canada.

  • NeurIPS 2019 Workshop on Solving Inverse Problems with Deep Networks

    “Gradient-Based Neural DAG Learning”, Vancouver, British-Columbia, Canada.

  • Montreal AI Symposium 2019

    “Gradient-Based Neural DAG Learning”, Montreal, Quebec, Canada.

  • Deep Learning and Reinforcement Learning Summer School 2019

    “Gradient-Based Neural DAG Learning”, Edmonton, Alberta, Canada.

  • Optimization Days 2018

    “Predicting solution summaries to integer linear programs under imperfect information with machine learning”, Montreal, Quebec, Canada.

  • DIMACS 2018

    “Predicting solution summaries to integer linear programs under imperfect information with machine learning", Bethlehem, Pennsylvania, United-States.


Contact


Sébastien Lachapelle
Mila - Quebec AI Institute
6666 Saint-Urbain
Montreal, QC
H2S 3H1 Canada

© 2019