eprintid: 10204417
rev_number: 8
eprint_status: archive
userid: 699
dir: disk0/10/20/44/17
datestamp: 2025-02-07 14:39:06
lastmod: 2025-02-07 14:39:06
status_changed: 2025-02-07 14:39:06
type: proceedings_section
metadata_visibility: show
sword_depositor: 699
creators_name: Kornai, Daniel
creators_name: Silva, Ricardo
creators_name: Nikolaou, Nikolaos
title: AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery and Causal Modelling
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C06
divisions: F61
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
date: 2025-05-07
date_type: published
publisher: Proceedings of Machine Learning Research (PMLR)
official_url: https://www.cclear.cc/2025
full_text_type: other
language: eng
verified: verified_manual
elements_id: 2358840
lyricists_name: Silva, Ricardo
lyricists_id: RBDAS40
actors_name: Silva, Ricardo
actors_id: RBDAS40
actors_role: owner
full_text_status: restricted
pres_type: paper
event_title: Fourth Conference on Causal Learning and Reasoning
event_dates: 7 May 2025 - 9 May 2025
citation:        Kornai, Daniel;    Silva, Ricardo;    Nikolaou, Nikolaos;      (2025)    AGM-TE: Approximate Generative Model Estimator of Transfer Entropy for Causal Discovery and Causal Modelling.                     In:   (Proceedings) Fourth Conference on Causal Learning and Reasoning.   Proceedings of Machine Learning Research (PMLR)    (In press).   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10204417/1/71.pdf