[UAI] [jobs] 2 PhD positions at University of Amsterdam in causality and reinforcement learning for fintech (Deadline: 11 March)

l machine learning in the context of financial transaction data. This student will work on learning causal drivers of user behaviour through reusing existing A/B test results and designing new sample efficient experiments. This position will be supervised by dr. Sara Magliacane (https://nam04.safelin

[UAI] [CFP] NeurIPS workshop on Causal Representation learning - deadline extended to Oct 2

%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638278117568466403%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=xYP8AvZ1VI3f6iXuwBC5J%2Fd3rID8%2FEntttnHBuMpCH0%3D&reserved=0 CRL ***ORGANIZERS*** Sara Magliacane, University of Amste

[UAI] [CFP] NeurIPS workshop on Causal Representation learning - deadline Sept 29

c113%7C0%7C0%7C638249199893820971%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=PwN5s3moWLjpdu22L7xzYbFCaWNMT3R3IK8wqcUZP18%3D&reserved=0 ***ORGANIZERS*** Sara Magliacane, University of Amsterdam and MIT-IBM Watson AI Lab Ata

[UAI] [jobs] 1 PhD position at the University of Amsterdam in Causality-inspired ML for Robust Fraud Detection

project is to leverage causality-inspired machine learning methods to improve the robustness of fraud detection methods to distribution shifts. This position will be supervised by dr. Sara Magliacane <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsaramagliacane.github.io%2F&

[UAI] [Call For Partecipation][Reminder] CLeaR 2023 registration closes on March 15

We invite you to participate in the *2nd Conference on Causal Learning and Reasoning* (CLeaR 2023, https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.cclear.cc%2F2023&data=05%7C01%7Cuai%40engr.orst.edu%7C94f1620ff38e44e89b6608db201bcc64%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0

[UAI] [Reminder] [CFP] Conference on Causal Learning and Reasoning (CLeaR 2023) - deadline: Oct 28

*Reminder: *10 days to submission deadline (Oct 28 11:59pm AoE) We invite submissions to the *2nd Conference on Causal Learning and Reasoning* (CLeaR 2023, https://www.cclear.cc/2023), and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect

[UAI] [CFP] Conference on Causal Learning and Reasoning (CLeaR 2023) - deadline: Oct 28

Call for Papers We invite submissions to the *2nd Conference on Causal Learning and Reasoning* (CLeaR 2023, https://www.cclear.cc/2023), and welcome paper submissions that describe new theory, methodology, and/or applications relevant to any aspect of causal learning and reasoning in the fields of

[UAI] [Reminder] [CFP] NeurIPS 2022 workshop "A causal view on dynamical systems" - deadline: Sept 22, 23:59 AoE

rl Friston (University College London) Biwei Huang (UCSD) Atalanti Mastakouri (Amazon) Joris Mooij (University of Amsterdam) Cristopher Salvi (Imperial College London) Organizers Sören Becker (Helmholtz AI) Alexis Bellot (DeepMind) Cecilia Casolo (Helmholtz AI) Niki Kilbertus (TU Munich, Helmholtz A

[UAI] [jobs] PhD in causal representation learning on multimodal data at University of Amsterdam (deadline: 15 September)

testing them empirically? The Intelligent Data Engineering Lab at the University of Amsterdam ( www.uva.nl) is seeking a motivated PhD student in the area of causality, causal representation learning and multimodal data fusion. You will be working under the supervision of dr. Sara Magliacane ( https

[UAI] [CFP] UAI 2022 Causal Representation learning workshop - new deadline: June 6 2022, 23:59 AoE

his into account. The workshop will not have proceedings, so you can submit recent work or work in progress. Submission site: https://openreview.net/group?id=auai.org/UAI/2022/Workshop/CRL ***ORGANIZERS*** Julius von Kügelgen, MPI & University of Cambridge Luigi Gresele, MPI Francesco

[UAI] [Job ad] Postdoc in Causal Fusion at University of Amsterdam (deadline 19 April)

theory and methods for extracting and fusing causal knowledge from multiple modalities. INDElab has both expertise in causality as well as in data integration and extraction from multimodal data. In the lab, you will be working closely with Dr. Sara Magliacane and Prof. Paul Groth on this project

[UAI] [Reminder] [CFP] Special issue on Causality at IEEE TNNLS - Deadline Oct 22

first review: December 10, 2021 - Submission of revised manuscript: January 21, 2022 - Notification of final decision: February 18, 2022 ** Guest Editors ** - Kun Zhang (Carnegie Mellon University) - Ilya Shpitser (Johns Hopkins University) - Sara Magliacane (University of Amsterdam, MIT-IBM

[UAI] [CFP] UAI 2021 Advances in Causal Inference Workshop - deadline May 31st

ing your ideas to our workshop, and we look forward to seeing you there *on July 30th*! More information on the workshop and submissions can be found at: https://sites.google.com/uw.edu/causaluai2021 On behalf of the organizers, Ema Perković (chair), University of Washington Frederick Eberhar

[UAI] [CFP] Special issue on Causal Discovery and Causality-Inspired ML at IEEE TNNLS

10, 2021 - Submission of revised manuscript: January 21, 2022 - Notification of final decision: February 18, 2022 ** Guest Editors ** - Kun Zhang (Carnegie Mellon University) - Ilya Shpitser (Johns Hopkins University) - Sara Magliacane (University of Amsterdam, MIT-IBM Watson AI Lab

[UAI] [jobs] PhD position in causality-inspired ML at University of Amsterdam (deadline: 15 April)

seeking a PhD candidate in causality-inspired machine learning (ML), i.e. the application of ideas from causality to different areas of ML, under the supervision of Dr Sara Magliacane ( smaglia.wordpress.com). In particular, we are looking for PhD students that are interested in exploring the connections