Learning from Dependent Observations
نویسندگان
چکیده
09:00 – 09:55 Registration and coffee-break 09:55 – 10:00 Opening remarks 10:00 – 10:50 Emmanuel Candes (California Institute of Technology) The Dantzig Selector: Statistical Estimation when p is Larger than n 11:00 – 11:30 Coffee-break 11:30 – 12:20 Franck Barthe (Université Toulouse III) About Talagrand’s Concentration Inequality for Exponential Measures 12:30 – 14:30 Lunch break 14:30 – 15:20 Dean Foster (University of Pennsylvania) Deterministic Calibration and Nash Equilibrium 15:30 – 16:20 Neri Merhav (Technion, I.I.T.) On Context-tree Prediction of Individual Sequences 16:30 – 17:00 Coffee-break 17:00 – 17:50 Peter Grünwald (CWI & Eurandom) Suboptimality of MDL and Bayes in Classification under Misspecification 18:00 – 19:30 Poster session 19:30 – 21:30 Light welcoming buffet
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تاریخ انتشار 2006