Panel: Challenges and opportunities of causality
What is causal machine learning? Is it the same as causality research? What are the recent advances and future opportunities? This panel is a unique session where you can hear world-leading researchers’ thoughts on causal machine learning in economics, computer science, statistics, and healthcare. Microsoft Chief Scientific Officer Eric Horvitz will discuss the advances and impact of causal machine learning with four esteemed professors in causal machine learning with different backgrounds. You will hear their thought on why we need causal machine learning now, how causal machine learning can make a real-world impact, and the future of causal machine learning.
Learn more about the 2021 Microsoft Research Summit: https://Aka.ms/researchsummit (opens in new tab)
- Track:
- Causal Machine Learning
- Date:
- Speakers:
- Eric Horvitz, Yoshua Bengio, Susan Athey, Judea Pearl
- Affiliation:
- Microsoft, Université de Montréal, Stanford, UCLA
-
-
Eric Horvitz
Chief Scientific Officer
-
-
-
-
-
Judea Pearl
Professor
UCLA
-
-
Causal Machine Learning
-
Opening remarks: Causal Machine Learning
Speakers:- Cheng Zhang
-
-
Research talk: Causal ML and business
Speakers:- Jacob LaRiviere
-
-
-
Panel: Challenges and opportunities of causality
Speakers:- Susan Athey,
- Yoshua Bengio,
- Judea Pearl
-
-
Research talk: Causal ML and fairness
Speakers:- Allison Koenecke
-
Panel: Causal ML Research at Microsoft
Speakers:- Daniel McDuff,
- Javier González,
- Justin Ding
-
Research talk: Post-contextual-bandit inference
Speakers:- Nathan Kallus
-
-
-
-
Panel: Causal ML in industry
Speakers:- Ya Xu,
- Totte Harinen,
- Dawen Liang
-
