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CRM > English > Activities > Research Program on Mathematics of Machine Learning (MathML)
Research Program on Mathematics of Machine Learning (MathML)
General information

Dates: April to July 2014                        ​                                      Weekly seminar​

Scientific Coordinators

Sebastien Bubeck, Princeton University

Nicolò Cesa-Bianchi, Università degli Studi di Milano

Alexander Rakhlin, University of Pennsylvania

Scientific Commitee

Peter Bartlett, UC Berkeley

Luc Devrove, McGill University

Ricard Gavaldà, Universitat Politècnica de Catalunya

Gàbor Lugosi, Universitat Pompeu Fabra

Yishav Mansour, Tel Aviv University

Alexander Tsybakov, CREST​



Learning theory lies at the intersection of probability, statistics, computer science, and optimization. This mathematical theory is concerned with theoretical analysis of machine learning algorithms. Over the last decade the statistical learning approach has been successfully applied to many problems of interest in machine learning, such as bioinformatics, computer vision, speech processing, robotics, and information retrieval. This success story crucially relies on a strong mathematical foundation. Over the past several decades, learning theory has studied inherent complexities of learning problems, both from the statistical and computational points of view. The dialogue between computation and statistics has been key to the enormous advances and growth in the field.

The main goal of this research program is to impulse further these advances by bringing together experts from fields spanning the full broad range of modern learning theory.  Core topics include links between learning theory and optimization; trade-offs between computational efficiency and data efficiency; and the theory of sequential prediction and optimization.

The program will host various full-time visitors at any given time during the program.

During the program, a five-day international workshop on the Mathematical Foundations of Learning Theory will be organized.

This event is a natural follow-up to similar events previously organized in Barcelona (2004), Paris (2006), Hong-Kong (2008),Dagsthul (2011) and Budapest (2011)

In addition, one or two smaller three-day international workshops will also be organized.

The 7th Journées Statistiques du Sud will also be held as a part of the research program (from June 9 to 13, 2014).

LINKS to previous editions: 


Invited Researchers 
​The following list includes all research visitors who have confirmed the dates of their visits.

DimitriosAchlioptasUniversity of California at Santa Cruz16/06/201420/06/2014
PierreAlquierScoil na nEolaíochtaí Matamaitice UCD08/06/201415/06/2014
SanjeevAroraPrinceton University
PeterAuerUniversity of Leoben08/04/201430/04/2014
FrancisBACHINRIA Paris-Rocquencourt Research Centre07/04/201426/04/2014
FrancisBACHINRIA Paris-Rocquencourt Research Centre09/06/201411/06/2014
GérardBiauUniversité Pierre et Marie Curie08/06/201412/06/2014
SebastienBubeckPrinceton University05/05/201405/07/2014
AlejandraCabañaUniversitat Autònoma de Barcelona09/06/201411/06/2014
RuiCastroTechnische Universiteit Eindhoven17/06/201420/06/2014
NicolòCesa-BianchiUniversità degli studi di Milano21/05/201430/05/2014
NicolòCesa-BianchiUniversità degli studi di Milano11/06/201420/06/2014
AmitDanielyThe Hebrew University of Jerusalem05/06/201420/06/2014
OferDekelMicrosoft Research (Redmont)08/06/201422/06/2014
PedroDelicadoUniversitat Politècnica de Catalunya09/06/201411/06/2014
LucDevroveMcGill University11/05/201414/06/2014
VitalyFeldmanIBM Research12/06/201419/06/2014
MariaFlorinaCarnegie Mellon University09/06/201423/06/2014
GersendeFortTelecom Paris Tech08/06/201412/06/2014
AurélienGarivierUniversité Paul Sabatier09/06/201412/06/2014
RicardGavaldàUniversitat Politècnica de Catalunya01/04/201431/07/2014
PeterGrünwaldCentrum voor Wiskunde en Informatica15/06/201419/06/2014
LaszloGyörfiTechnical University of Budapest
EladHazanTechnion Israel Institute of Technology10/06/201422/06/2014
EladHazanTechnion Israel Institute of Technology17/06/201419/06/2014
MatthiasHeinUniversität des Saarlandes17/06/201419/06/2014
DanielHsuColumbia University17/06/201419/06/2014
SatyenKaleYahoo! Labs08/06/201421/06/2014
Irem ErsozKayaMersin University05/05/201431/07/2014
TamasLinderQueen's University18/05/201404/06/2014
GáborLugosiUniversitat Pompeu Fabra01/04/201431/07/2014
StephaneMallatÉcole Polytechnique10/06/201412/06/2014
YishayMansourSchool of Computer Science21/05/201430/05/2014
YishayMansourSchool of Computer Science11/06/201422/06/2014
AnkurMoitraMassachusetts Institute of Technology05/06/201420/06/2014
Ayca C.PehlivanliMimar Sinan University
AlexanderRakhlinThe Wharton School16/05/201420/06/2014
BenjaminRechtUniversity of California at Berkeley11/06/201419/06/2014
PhilippeRigolletPrinceton University12/05/201431/05/2014
lorenzorosascoMassachusetts Institute of Technology17/06/201419/06/2014
OhadShamirWeizmann Institute of Science21/05/201419/06/2014
OhadShamirWeizmann Institute of Science17/06/201419/06/2014
KarthikSridharanToyota Technological Institute at Chicago01/06/201401/07/2014
CsabaSzepesvariUniversity of Alberta08/06/201424/06/2014
RuedigerUrbankeÉcole Polytechnique Fédérale de Lausanne
Ulrikevon LuxburgUniversität Hamburg17/06/201419/06/2014
VolodyaVovkUniversity of London17/06/201418/06/2014
MartinWainrightUniversity of California at Berkeley02/06/201411/06/2014
MartinWainrightUniversity of California at Berkeley09/06/201411/06/2014
RobertWilliamsonAustralian National University11/06/201416/06/2014
Scientific events organized within the program

 Weekly seminar​

7th Journées Statistiques du Sud​​

From June 9 to 11, 2014

Conference on Learning Theory (COLT)​

From June 13 to 15, 2014

Workshop on the Mathematical Foundations of Learning Theory​

From June 17 to 19, 2014

National Science Foundation grants

The National Science Foundation is announcing its support to this research program by offering grants to 
US based graduate students and young researchers interested in participating in the above scientific events. Read more...


National Science Foundation - Where Discoveries Begin

Further information

For further information please contact the program coordinator, Neus Portet at​