Tools for Causality

Autrans-MĂ©audre-en-Vercors, France

From September 24th to September 29th
Location: L'Escandille
Image credit to L'Escandille


Registration

The Tools for Causality will be held at the Escandille, Autrans-MĂ©audre-en-Vercors, France from September 24th to September 29th, 2023.

We offer full board at the Escandille from Sunday September 24 evening to Friday September 29 noon. In addition to attending tutorials, all participants will have the possibility to present a poster!

The contribution costs are:

  • 350 euros for a single room
  • 300 euros for a twin room
Payment is made at the time of booking by credit card.

Please register and pay your inscription here before July 15th AoE

The school is a one-week intensive courses that will start with an introduction course about causal inference and then proceed by covering different packages for causal inference in Python, such as causal-learn, DoubleML and DoWhy. Each course will include lectures, tutorials and hands-on exercises.

Schedule


Monday 25 September
8:00am - 9:00am Breakfast
9:00am - 10:30am Introduction
10:30am - 11:00pm Coffee break
11:00am - 12:30pm Introduction
12:30pm - 2:00pm Lunch
2:00pm - 3:30pm Causal Learn
3:30pm - 4:00pm Coffee break
4:00pm - 5:30pm Causal Learn
5:30pm - 7:00pm Poster + apéro
7:30pm - 21:00pm Dinner
Tuesday 26 September
8:00am - 9:00am Breakfast
9:00am - 10:30am Double ML
10:30am - 11:00am Coffee break
11:00am - 12:30pm Double ML
12:30pm - 2:00pm Lunch
2:00pm - 3:30pm Causal Learn
7:30pm - 21:00pm Dinner
Wednesday 27 September
8:00am - 9:00am Breakfast
9:00am - 10:30am Do Why
10:30am - 11:00am Coffee break
11:00am - 12:30pm Do Why
12:30pm - 2:00pm Lunch break
2:00pm - 5:30pm Social activity
7:30pm - 21:00pm Dinner
Thursday 28 September
7:30am - 8:30am Breakfast
8:30am - 10:30am Double ML
10:30am - 11:00am Coffee break
11:00am - 12:00pm Double ML
12:30am - 2:00pm Lunch
2:00pm - 3:30pm Causal Learn
3:30pm - 5:30pm Break
5:30pm - 7:00pm Poster + apéro
7:30pm - 21:00pm Dinner
Friday 29 September
7:30am - 8:30am Breakfast
8:30am - 10:00am Do Why
10:00am - 10:30am Coffee break
10:30am - 12:00pm Do Why
12:00am - 1:00pm Lunch
1:30pm Bus departure

Speakers


Philipp Bach
University of Hamburg

Double Machine Learning


Biography (click to expand/collapse)

Philipp Bach is a postdoctoral researcher in Statistics, at University of Hamburg. He holds the chair of Statistics with Application in Business Administration. He did a PhD at Hamburg university, supervised by Martin Spindler. His main research fields are estimation of causal effects and inference in high dimensional settings with machine learning methods, machine learning, and deep learning, with applications in labor, health and financial economics. [Web page]


Elise Dumas
Institut Curie

Introduction


Biography (click to expand/collapse)

Elise Dumas did a PhD thesis at Institut Curie, under the supervision of Fabien Reyal and Chloé-Agathe Azencott about the impact of comedications on breast cancer relapse free survival. She is particularly interested in causal inference, with applications in biosciences and health. [Slides]


Robert Ness
Microsoft Research AI

DoWhy


Biography (click to expand/collapse)

Robert Ness is a Senior Researcher at Microsoft Research AI in the Societal Resilience group. In his research, he explores how to combine causal discovery, causal inference, deep probabilistic modeling, and programming languages to power new capabilities in AI.


Yujia Zheng
Carnegie Mellon University

Causal Learn


Biography (click to expand/collapse)

Yujia Zheng is a graduate student at CMU Philosophy, advised by Prof. Kun Zhang. His research interests lie primarily in the linear span of causality and machine learning. Specifically, he focus on causal discovery, causal representation learning, and structure learning. [Slides]


Organizers

Emilie Devijver
CNRS and University of Grenoble Alpes
Eric Gaussier
University of Grenoble Alpes


Organized by


With additional support from


Code of Conduct

Tools for Causality is dedicated to providing a harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of participants in any form. Sexual language and imagery is not appropriate for any venue, including talks, workshops, parties, Twitter and other online media. Participants violating these rules may be sanctioned or expelled from the event at the discretion of the conference organizers. If you have any concerns about possible violation of the policies, please contact the organizers (organizers.quarter.causality@gmail.com) as soon as possible.