Tools for Causality

Autrans-Méaudre-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-Méaudre-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. [Tutorial ] [Slides ]

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

Charles K. Assaad

EasyVista

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.