Introduction
The scope of the meeting includes all aspects of the theoretical analysis of machine learning techniques for prediction and other data analysis problems. The main objective is to explore connections between learning theory and many other areas of theoretical computer sciencie, mathematics and statistics.
The program will include sessions on such topics as empirical processes and concentration inequalities, local theory of Banach spaces, approximation theory, game theory, nonparametric statistics, etc.
The talks will not necessarily be directly related to learning theory, but rather they will be devoted to any interesting problem in mathematics that has had or is likely to have an impact on the development of the mathematical theory of learning.
The main goal of the meeting is to bring together (probably, for the first time) a diverse group of mathematicians and theoretical computer scientists working on these problems.
Organizing Committee
Evarist Giné (University of Connecticut)
Vladimir Koltchinskii (University of New Mexico, Albuquerque)
Gábor Lugosi (Universitat Pompeu Fabra)
Shahar Mendelson (Australian National University)
Vitali Milman (Tel Aviv University)
Steve Smale (Toyota Technological Institute at Chicago and University of California at Berkeley)
Tutorial speakers
Stéphane Boucheron (Université Paris-Sud, Orsay)
Nicolò Cesa-Bianchi (Università di Milano)
Věra Kůrková (Academy of Sciences of the Czech Republic)
Phil Long (Genome Institute of Singapore)
Shahar Mendelson (Australian National University)
Invited Speakers
Andrew Barron (Yale University)
Franck Barthe (Université Paul-Sabatier, Toulouse)
Shai Ben-David (Cornell University)
Ronald DeVore (University of South Carolina)
Luc Devroye (McGill University)
Richard Dudley (MIT)
Dean Foster (Wharton, University of Pennsylvania)
Yoav Freund (Columbia University)
Sergiu Hart (The Hebrew University of Jerusalem)
Michel Ledoux (Université Paul-Sabatier, Toulouse)
Nati Linial (The Hebrew University of Jerusalem)
Pascal Massart (Université Paris-Sud)
Assaf Naor (Microsoft Research)
Manfred Opper (Aston University)
Alain Pajor (Université de Marne-la-Vallée)
Gideon Schechtman (Weizmann Institute of Science)
Alexandre Tsybakov (Universite Paris 6)
Roman Vershynin (University of California, Davis)
Vladimir Vovk (Royal Holloway)
Jon Wellner (University of Washington)
Ding Xuan Zhou (City University of Hong Kong)
Joel Zinn (Texas A&M University)
INVOICE/PAYMENT INFORMATION
IF YOUR INSTITUTION COVERS YOUR REGISTRATION FEE: Please note that, in case your institution is paying for the registration via bank transfer, you will have to indicate your institution details and choose “Transfer” as the payment method at the end of the process.
UPF | UB | UPC | UAB
*If the paying institution is the UPF / UB/ UPC / UAB, after registering, please send an email to comptabilitat@crm.cat with your name and the institution internal reference number that we will need to issue the electronic invoice. Please, send us the Project code covering the registration if needed.
Paying by credit card
IF YOU PAY VIA CREDIT CARD but you need to provide the invoice to your institution to be reimbursed, please note that we will also need you to send an email to comptabilitat@crm.cat providing the internal reference number given by your institution and the code of the Project covering the registration (if necessary).
LODGING INFORMATION
ON-CAMPUS AND BELLATERRA
BARCELONA AND OFF-CAMPUS
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For inquiries about this event please contact the Scientific Events Coordinator Ms. Núria Hernández at nhernandez@crm.cat
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