Conference 2015
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Invited Speakers



Ehud Kalai

Address
Kellogg School of Management, Northwestern University
Evanston IL 60208, USA
kalai(@)kellogg.northwestern.edu

Lectures
Stability in Population Games
Learning and Stability in Population Games with Unknown Fundamentals

Short Bio

Ehud Kalai is the James J. O'Connor Distinguished Professor of Decision and Game Sciences at Northwestern University. His research is in game theory and its interface with economics, social choice, computer science and operations research. He holds an AB in mathematics, U of California Berkeley (1967), and an MS and PhD in statistics and mathematics, Cornell U (1971) and (1972). Kalai is the founding Editor of Games and Economic Behavior, and a co-founder of the international Game Theory Society in which he served as President, 2003-06. He is a Fellow of The American Academy of Arts and Sciences, The Society for the Advancement of Economic Theory, and The Econometric Society; and a recipient of an Honorary Doctorate from the University of Paris.


Alexandre Proutiere

Address
KTH, The Royal Institute of Technology
EE School / ACL, Osquldasv. 10
Stockholm 100-44, Sweden
alepro(at)kth.se

Lectures
Structured Bandit Optimization: Fundamental Limits and Efficient Algorithms
Community Detection via Random and Adaptive Sampling

Short Bio

Alexandre Proutiere graduated in Mathematics from Ecole Normale Superieure (Paris), and got an engineering degree from Ecole Nationale Superieure des Telecoms (Paris). He is an engineer from Corps of Mines, and received his PhD in Applied Mathematics from Ecole Polytechnique, Palaiseau, France in 2003. From 1998 to 2000, he worked in the radio communication department at the Ministry of Foreign Affairs in Paris. He joined James Roberts' research group at France Telecom R&D in 2000. From 2007 to 2011, he held a position of researcher at Microsoft Research in Cambridge (UK). He is now Associate Professor at KTH, Sweden. Alexandre was the recipient in 2009 of the ACM Sigmetrics rising star award, and received twice the best paper awards at ACM Sigmetrics conference, and once at the ACM Mobihoc conference. He is an associate editor of IEEE Transactions on Networking, and of Queueing systems and applications. His research is supported by an ERC consolidator grant.



Benjamin Van Roy

Address
475 Via Ortega, Room 356
Stanford University
Stanford, CA 94305-4121, USA
bvr(@)stanford.edu

Lectures
Learning to Optimize, Part I: Exploration and Generalization
Learning to Optimize, Part II: Influence

Short Bio

Benjamin Van Roy is a Professor of Electrical Engineering, Management Science and Engineering, and, by courtesy, Computer Science, at Stanford University. He has also held leadership roles in several technology companies, as well as visiting positions at the University of Karlsruhe and Chulalongkorn University. His current research focusses on the design, analysis, and application of algorithms that learn over time to make effective decisions.
He received the SB (1993) in Computer Science and Engineering and the SM (1995) and PhD (1998) in Electrical Engineering and Computer Science, all from MIT. He has served on the editorial boards of Discrete Event Dynamic Systems, Machine Learning, Mathematics of Operations Research, and Operations Research. He is currently the Financial Engineering Area Editor for Operations Research.
He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award (1993), the MIT Morris J. Levin Memorial Master's Thesis Award (1995), the MIT George M. Sprowls Doctoral Dissertation Award (1998), the NSF CAREER Award (2000), the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching (2003), and the Management Science and Engineering Department's Graduate Teaching Award (2012). He has been a Frederick E. Terman Fellow and a David Morgenthaler II Faculty Scholar.




Robert Weismantel

Address
Institut für Operations Research Departement Mathematik
HG G 21.5, Rämistrasse 101
8092 Zürich, Switzerland
robert.weismantel@ifor.math.ethz.ch

Lectures
Nonlinear integer Optimization Part 1: convex and concave functions
Nonlinear integer Optimization Part 2: polynomial functions

Short Bio

PhD in Mathematics, 1992, TU Berlin
Second PhD degree (Habilitation) in Mathematics, 1995, TU Berlin
Prof. of Mathematics, University of Magdeburg, 1998 - 2009
Prof. of Mathematics, ETH Zurich since 2010
He is a co-editor of MPA and work on Integer and Mixed Integer Optimization. His joint book with Dimitris Bertsimas entitled 'Optimization over integers' appeared in 2005.