Dear colleagues in causality research,
I am extremely proud and humble to have been selected a
recipient of the 2020 BBVA Frontier of Science Award.
https://www.frontiersofknowledgeawards-fbbva.es/noticias/the-frontiers-of-knowledge-award-goes-to-judea-pearl-for-laying-the-foundations-of-modern-artificial-intelligence-so-computer-systems-can-process-uncertainty-and-associate-causes-and-effects/
As you can tell from the press release above,
this award is given annually in all branches of science and
thus promises to make causality research extend beyond its standard boundaries.
Thank you all for your ideas, contributions, encouragement and support.
Lastly, the following reports have been added or updated to our blog
http://bayes.cs.ucla.edu/csl_papers.html :
A. Li and J. Pearl "Bounds on Causal Effects and Application to High
Dimensional Data,"
UCLA Cognitive Systems Laboratory, Technical Report (R-511), September 2021.
To appear in Proceedings of the Thirty-Sixth AAAI Conference on Artificial
Intelligence (AAAI-22).
A. Li and J. Pearl "Unit Selection with Causal Diagram,"
UCLA Cognitive Systems Laboratory, Technical Report (R-510), September 2021.
To appear in Proceedings of the Thirty-Sixth AAAI Conference on Artificial
Intelligence (AAAI-22).
A. Forney and S. Mueller "Causal Inference in AI Education: A Primer,"
UCLA Cognitive Systems Laboratory, Technical Report (R-509), September 2021.
Submitted to Journal of Causal Inference.
C. Cinelli "Transparent and Robust Causal Inferences in the Social and Health
Sciences,"
UCLA Cognitive Systems Laboratory, Technical Report (R-508), July 2021.
Ph.D. Thesis
A. Li, "Unit Selection Based on Counterfactual Logic,"
UCLA Cognitive Systems Laboratory, Technical Report (R-507), June 2021.
Ph.D. Thesis
S. Mueller, "Estimating Individualized Causes of Effects by Leveraging
Population Data,"
UCLA Cognitive Systems Laboratory, Technical Report (R-506), June 2021.
Master's Thesis
S. Mueller, A. Li, and J. Pearl "Causes of effects: Learning individual
responses from population data,"
UCLA Cognitive Systems Laboratory, Technical Report (R-505), January 2022.
C. Zhang, C. Cinelli, B. Chen, and J. Pearl "Exploiting equality constraints in
causal inference,"
UCLA Cognitive Systems Laboratory, Technical Report (R-504), April 2021.
Proceedings of the 24th International Conference on Artificial Intelligence and
Statistics (AISTATS), San Diego, California, USA. PMLR: Volume 130, 1630-1638,
April 2021.
Lively discussions on these and related topics are blazing on my tweeter account
@yudapearl, please join.
Wishing you all a triumphant exit to a COVID-free world
and a productive storm of new research.
Judea Pearl
UCLA Computer Science Department
ju...@cs.ucla.edu, @yudapearl
HOME: http://bayes.cs.ucla.edu/jp_home.html
"Book of Why" http://bayes.cs.ucla.edu/WHY/
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