WorkshopHybrid

Causal Discovery Workshop (CaDis 2026)

Name: Causal Discovery Workshop (CaDis 2026)
Start: 2026-11-30
End: 2026-12-01

Hosted by Instituto Nacional de Astrofísica, Óptica y Electrónica

30 November – 1 December 2026
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Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico
AI (Artificial Intelligence)Machine Learning & Deep Learning

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Programme

Published

18 sessions across 2 days

4 rooms · 44 speakers

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Call for Papers

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Registration

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Key facts

Causal Discovery Workshop (CaDis 2026) is a workshop held 30 November – 1 December 2026 in Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico, organised by Instituto Nacional de Astrofísica, Óptica y Electrónica.

Dates:: 30 November – 1 December 2026
Format:: Hybrid (in person and online)
Venue:: Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Tonantzintla, Mexico
Subjects:: AI (Artificial Intelligence), Machine Learning & Deep Learning
Organiser:: Instituto Nacional de Astrofísica, Óptica y Electrónica
Official website:: cadisworkshop.com.mx

The fourth edition of the Workshop on Causal Discovery (CaDis 2026) aims to present recent advances in causal discovery, covering observational and interventional data approaches, human expert knowledge integration, and applications in machine learning.

Conference theme

Causal Discovery

Objectives

To present recent advances in causal discovery, including different approaches that consider observational and/or interventional data, building models with the help of human experts, and combining causal discovery with machine learning areas such as reinforcement learning and deep learning.

Who should attend

Researchers and students from Artificial Intelligence, Machine Learning, Statistics and Cognitive Science who work on causal discovery, the construction of causal models and their evaluation, as well as in practical applications.