Talks

2022

Typing Assumptions Improve Identification in Causal Discovery

Causal discovery from observational data is a challenging task to which an exact solution cannot always be identified. Under …

Apr 11, 2022 4:00 AM — 4:00 AM Oral presentation at CLeaR 2022 (Eureka, CA)

2021

Typing Assumptions Improve Identification in Causal Discovery (MAIS)

Causal discovery from observational data is a challenging task to which an exact solution cannot always be identified. Under …

Oct 31, 2021 4:00 AM — 4:00 AM Montreal AI Symposium (MAIS) 2021

Typing Assumptions Improve Identification in Causal Discovery (ICML Workshop)

Causal discovery from observational data is a challenging task to which an exact solution cannot always be identified. Under …

Jul 23, 2021 4:00 AM — 4:00 AM Oral Presentation at The Neglected Assumptions in Causal Inference Workshop, ICML 2021

Differentiable Causal Discovery with observational and interventional data

Learning a causal directed acyclic graph from data is a challenging task that involves solving a combinatorial problem for which the …

May 19, 2021 4:00 AM — 4:00 AM Invited Talk at Element AI

2020

Differentiable Causal Discovery with Interventional Data

Learning a causal directed acyclic graph from data is a challenging task that involves solving a combinatorial problem for which the …

Nov 26, 2020 5:00 AM — 5:00 AM Spotlight at NeurIPS 2020 (Virtual)

2019

Apprentissage profond: Principes théoriques et applications

L’apprentissage profond, une branche de l’intelligence artificielle, a récemment connu une croissance soudaine qui a déjà un impact …

Jul 18, 2019 4:00 AM — 4:00 AM Mila Summer School Workshop for High School Students

2018

L’intelligence artificielle

Le Projet SEUR (Sensibilisation aux Études, à l’Université et à la Recherche) vise à favoriser l’intérêt pour les études …

Feb 22, 2018 6:43 PM — 5:00 AM Collège Notre-Dame (High School), Montreal