Workshop on Simplicity and Likelihood

FRIDAY
12:30	Lunch and Registration
2:00	Nabil Al-Najjar (Northwestern University), "Coarse Decision Making"
2:45	Luciano De Castro (University of Illinois, Urbana-Champaign), "A Subjective Foundation of Objective Probability"
3:30	Break
4:00	Malcolm Forster (University of Wisconsin), "Counterexamples to a Likelihood Theory of Evidence"
4:45	Peter Grunwald (CWI), "The Catch-Up Phenomenon in Model Selection and Prediction"
7:00	Dinner (By invitation)
SATURDAY
8:30	Breakfast
9:30	Joe Halpern (Cornell University), "Cause, Responsibility, and Blame: A Structural-Model Approach"
10:15	Break
10:45	Yishay Mansour (Tel Aviv University), "Simplicity in Machine Learning"
11:30	Peter McCullagh (University of Chicago), "Selection Effects and Sampling Bias"
12:15	Lunch
2:00	James Robins (Harvard University), "Finding Causal Effects without Background Knowledge or Statistical Independencies"
2:45	Larry Wasserman (Carnegie Mellon University), "Sparse Estimators for Nonsparse Distributions"
3:30	Break
4:00	David Schmeidler (Ohio State University & Tel Aviv University), "Likelihood and Simplicity: An Axiomatic Approach"
4:45	David Wolpert (NASA), "Physical Limits of Inference"
SUNDAY
8:30	Breakfast
9:30	Aris Spanos (Virginia Tech), "Akaike-type Criteria and the Reliability of Inference"
10:15	Break
10:45	David Pollard (Yale University), "Fat-Shattering Dimension and the Role of Majorizing Measures"
11:30	Larry Samuelson (Yale University), "Preferring Simplicity"
12:15	Lunch