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Activity Details

268 * ! Tue, 8/1/2017, 8:30 AM - 10:20 AM CC-349
A Unifying Theme for Interpretable Information Extraction from Data: The Stability Principle — Invited Papers
IMS , Section on Statistical Learning and Data Science
Organizer(s): Bin Yu, University of California, Berkeley
Chair(s): Anru Zhang, University of Wisconsin-Madison
8:35 AM Three Principles for Data Science: Predictability, Stability and Computability Bin Yu, University of California, Berkeley
9:00 AM Stability, Uncertainty, and Bayesian Learning Chris Holmes, University of Oxford
9:25 AM Max-Information, Differential Privacy, and Post-Selection Hypothesis Testing — Ryan Rogers, University of Pennsylvania ; Aaron Roth, University of Pennsylvania ; Adam Smith, Pennsylvania State University ; Om Thakkar, Penn State
9:50 AM The Central Role of Stability in Causal Inference Peng Ding, University of California, Berkeley
10:15 AM Floor Discussion
 
 
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