Dear friends in causality research. Welcome to the 2018 Winter greeting from the UCLA Causality Blog. causality.cs.ucla.edu/blog
This greeting discusses the following topics: 1. A report is posted, on the "What If" workshop at the NIPS conference. (see December 19, 2017 post below) It discusses my presentation of: Theoretical Impediments to Machine Learning, a newly revised version of which can be viewed here. http://ftp.cs.ucla.edu/pub/stat_ser/r475.pdf] 2. New posting: "Facts and Fiction from "the Missing Data Framework". Inviting discussion of two familiar mantras: Mantra-1. "The role of missing data analysis in causal inference is well understood (eg causal inference theory based on counterfactuals relies on the missing data framework). and Mantra-2. "while missing data methods can form tools for causal inference, the converse cannot be true." We explain why we believe both mantras to be false, but we would like to hear you opinion before firming up our mind. 3. A review paper is available here: http://ftp.cs.ucla.edu/pub/stat_ser/r473.pdf Titled: "Graphical Models for Processing Missing Data" It explains and demonstrates why missing data is a causal inference problem. 4. A new page is now up, providing information on "The Book of Why" http://bayes.cs.ucla.edu/WHY/ It contains Table of Contents and excerpts from the book. 5. Nominations are now open for the ASA Causality in Education Award. The nomination deadline is March 1, 2018. For more information, please see http://www.amstat.org/education/causalityprize/. 6. For those of us who were waiting patiently for the Korean translation of Primer -- our long wait is finally over. The book is available now in colorful cover and in optimistic North Korean accent. http://www.kyowoo.co.kr/02_sub/view.php?p_idx=1640&cate=0014_0017_ Dont miss the gentlest introduction to causal inference. http://bayes.cs.ucla.edu/PRIMER/ Enjoy and have a productive 2018. Judea _______________________________________________ uai mailing list [email protected] https://secure.engr.oregonstate.edu/mailman/listinfo/uai
