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Information, Causal Models and Model Diagnostics
April 14-15, 2018
Baker Hall A53 (Steinberg Auditorium)
Carnegie Mellon University
(Program may change slightly before the workshop.)
Day 1
Morning: Causation and Information
8:00 - 8:45 Breakfast/Registration
8:45 - 9:00 Welcome and Introductory Remarks
Richard Scheines (CMU)
9:00 - 10:30 Session 1
Hwan-sik Choi (Binghamton) Chair
Dominick Janzing (Max Planck Institute for Intelligent Systems)
J. Michael Dunn (Indiana U. Bloomington) Discussant
Causality as a tool for merging joint distributions (abstract)
10:30 - 11:00 Coffee Break
11:00 - 12:30 Session 2
Aarti Reddy (Student, American University) Chair
Kun Zhang (CMU)
Nicholas Kiefer (Cornell) Discussant
Causal discovery and data heterogeneity (abstract)
12:30 - 2:00 Lunch
Afternoon: Statistical Models, Stochastic Processes and Imprecise Probabilities
2:00 - 3:30 Session 3
Binderiya Byambasuren (Student, American University) Chair
Thomas Augustin (University of Munich)
David Choi (CMU) Discussant
On Imprecise Probability and Imprecise Information (abstract)
3:30 - 4:00 Coffee Break
4:00 - 5:30 Session 4
Elissa Cohen (Student, American University) Chair
Gert DeCooman (UGent)
Teddy Seidenfeld (CMU) Discussant
Stochastic processes with imprecise probability models (
abstract)
5:30 - 6:15 Reception
6:15 - 7:30 Dinner
Day 2
Morning: Biological Systems and Information
8:15 - 9:00 Breakfast
9:00 - 10:30 Session 5
Arnob Alam (Student, American University) Chair
Erik Hoel (Columbia)
Frederick Eberhardt (Caltech) Discussant
Causal models, information theory, and emergence (abstract)
10:30 - 11:00 Coffee Break
11:00 - 12:30 Session 6
Dingqian Liu (Student, American University) Chair
David Krakauer (Santa Fe Institute)
Simon DeDeo (CMU) Discussant
Organic and Cultural Dimensions of Individual Information Accumulation (abstract)
12:30 - 1:30 Lunch
1:30 - 2:00 Session 7
Tanima Ahmed (Student, American University) Chair
Alessio Moneta (Sant'Anna School of Advanced Studies)
Variable definition and causal inference: The role of Independent Component Analysis
2:00 - 3:30 Session 8
Adam Ackerman (Student, American University) Chair
Sarah Marzen (MIT)
Justin B. Kinney (Cold Spring Harbor Laboratory) Discussant
Designing lossy predictive sensors of memoryful environments (abstract)
3:30 - 4:00 Coffee Break
4:00-5:30 Discussion and Closing Remarks
Amos Golan (American U.)