On Differentiable Bayesian Causal Structure Learning

On Differentiable Bayesian Causal Structure Learning

Content
Grafik
Abstract

This extended abstract reviews differentiable Bayesian causal structure learning (CSL) and discusses why recent works on Bayesian causal discovery published in top-tier conference do not yet meet important desiderata. In particular, we advocate against the current trend of global regularization via prior terms

Grafik Top
Authors
  • Rittel, Simon
  • Tschiatschek, Sebastian
Grafik Top
Shortfacts
Category
 Paper in Conference Proceedings or in Workshop Proceedings (Poster)
Event Title
 40th Conference on Uncertainty in Artifical Intelligence
Divisions
 Data Mining and Machine Learning
Event Location
 Barcelona, Spain
Event Type
 Workshop
Event Dates
 15.-19.07.2024
Date
 15 July 2024
Export
Grafik Top
Universität Wien| Fakultät für Informatik | Währinger Straße 29 | 1090 Wien | T +43-1-4277-780 01 | Imprint | Webteam
EPrints Logo
CS is powered by EPrints 3 which is developed by the School of Electronics and Computer Science at the University of Southampton. More information and software credits.