|Mon 3 - Fri 7 Jun-13||Ph.D. course on convex optimization - Goele Pipeleers|
|ESAT 00.54 - Mechanical Dept. 04.43|
9:00 am-12:30 pm
Course Summary: This course concentrates on recognizing and solving convex optimization problems
that arise in engineering, and covers the following topics:
- Convex sets, functions, and optimization problems.
- Optimality conditions, duality theory, theorems of alternative, and applications.
- Interior-point methods.
- Applications in engineering.
Course Schedule: 03/06/2013 - 07/06/2013, 9:00-12:30,
ESAT 00.54 (Aud.A) on Monday till Thursday
Mechanical Department 04.43 (Sem C) on Friday
Registration: For organizational reasons, please register on this doodle
For more detailed info you can look the course summary
|Thu 13 - Thu 13 Jun-13||Simon Stevin Lecture on Optimization in Engineering - Yurii Nesterov|
|Thermotechnical Institute, Auditorium van de 2de hoofdwet|
3:00 pm-4:30 pm
26th Simon Stevin Lecture on
Optimization in Engineering
Center for Operations Research and Econometrics (CORE)
During the last decades, Optimization Theory was one of the most developing fields of Computational Mathematics. Now it consists of several powerful approaches, which can treat problems of very big size up to a high accuracy. In many cases, an intelligent use of problem structure allows to overcome the efficiency bounds of the standard optimization theory. At the same time, new randomized algorithms open a possibility of solving problems of practically unlimited dimension. Theoretical complexity analysis of optimization methods became a powerful tool for designing the new schemes, which are able to prove their superiority both in theory and in practical computations. Awareness of all these developments is important for people interested in different applications of optimization technique.
In this lecture, we describe the state of art in Convex Optimization. We start from discussion of general principles of complexity analysis and explain the key elements of classification of optimization problems and efficiency of optimization schemes.
Yurii Nesterov is professor at the Department of Mathematical Engineering at the Catholic University of Louvain (UCL).
He studied at the Moscow State
University where he obtained his master degree in 1977. He obtained
his PhD degree in Applied Mathematics at the Institute of Control
Sciences, Moscow, in 1984. Until 1992 he was researcher at the
Central Economical and Mathematical Institute of USSR Academy of
Sciences. In 1993 he became a professor at the Center for Operations
Research and Econometrics (CORE) at INMA, Université Catholique de
Louvain, where he is until today. Yurii Nesterov made important
contributions to many areas of optimization, in particular Black-Box
Convex Optimization, the theory of self-concordant functions and
Interior-Point Methods, General Nonlinear Optimization, Positive
polynomials and sums of squares, and approximate solutions of
combinatorial problems. Among his many honors, he received the "George
B. Dantzig prize" in 2000, which is awarded triennially by SIAM and
the Mathematical Optimization Society for research which by its
originality, breadth and scope has a major impact on the field of
mathematical optimization and he also got the "John von Neumann Theory Price" from INFORMS in 2009.
The "Simon Stevin Lecture Series on Optimization in Engineering" is set up in order to promote optimization in engineering. For this aim, every quarter of the year an outstanding international scholar is invited to report on latest progress in the development of optimization algorithms and their applications in engineering.
Simon Stevin (1548-1620) was a Flemish mathematician and engineer. Among other, he helped to advance the use of decimal fractions, was the first to explain the tides by the attraction of the moon, and discovered the hydrostatic paradox. He made numerous inventions, among them a wind propelled carriage with sails, the "land yacht", which once impressed Prince Maurice of Orange as it moved faster than horses, in around 1600 on the beach between Scheveningen and Petten. Simon Stevin was fond of promoting the use of science in daily life and in craftmanship, and translated various mathematical terms into dutch. Among other, he introduced the dutch word for mathematics, "wiskunde".
|Mon 8 - Wed 10 Jul-13||International workshop ROKS-2013, July 8-10 2013, Leuven|
|Auditorium of the Arenberg castle||ROKS 2013
International workshop on advances in Regularization, Optimization, Kernel methods and Support vector machines: theory and applications
July 8-10, 2013, Leuven, Belgium
One area of high impact both in theory and applications is kernel methods and support vector machines. Optimization problems, learning and representations of models are key ingredients in these methods. On the other hand considerable progress has also been made on regularization of parametric models, including methods for compressed sensing and sparsity, where convex optimization plays a prominent role. The aim of ROKS-2013 is to provide a multi-disciplinary forum where researchers of different communities can meet, to find new synergies along these areas, both at the level of theory and applications.
The scope includes but is not limited to:
- Regularization: L2, L1, Lp, lasso, group lasso, elastic net, spectral regularization, nuclear norm, others
- Support vector machines, least squares support vector machines, kernel methods, gaussian processes and graphical models
- Lagrange duality, Fenchel duality, estimation in Hilbert spaces, reproducing kernel Hilbert spaces, Banach spaces, operator splitting
- Optimization formulations, optimization algorithms
- Supervised, unsupervised, semi-supervised learning, inductive and transductive learning
- Multi-task learning, multiple kernel learning, choice of kernel functions, manifold learning
- Prior knowledge incorporation
- Approximation theory, learning theory, statistics
- Matrix and tensor completion, learning with tensors
- Feature selection, structure detection, regularization paths, model selection
- Sparsity and interpretability
- On-line learning and optimization
- Applications in machine learning, computational intelligence, pattern analysis, system identification, signal processing, networks, datamining, others
Francis Bach, INRIA
Stephen Boyd, Stanford University
Martin Jaggi, Ecole Polytechnique Paris
James Kwok, Hong Kong University of Science and Technology
Yurii Nesterov, Catholic University of Louvain UCL
Massimiliano Pontil, University College London
Justin Romberg, Georgia Tech
Bernhard Schoelkopf, Max Planck Institute Tuebingen
John Shawe-Taylor, University College London
Joel Tropp, California Institute of Technology
Ding-Xuan Zhou, City University of Hong Kong
CALL FOR ABSTRACTS
The ROKS-2013 program will feature invited plenary talks, oral sessions and poster sessions. Interested participants are cordially invited to submit an extended abstract (max. 2 pages) for their contribution. After the workshop a number of selected contributions will be invited for an edited book.
For further information see http://www.esat.kuleuven.be/sista/ROKS2013 .
- Deadline extended abstract submission: March 4, 2013
- Notification of acceptance: April 8, 2013
- Deadline for registration: June 3, 2013
- International Workshop ROKS-2013: July 8-10, 2013
Chair: Johan Suykens (KU Leuven)
Andreas Argyriou (Ecole Centrale Paris), Kris De Brabanter (KU Leuven), Moritz Diehl (KU Leuven), Kristiaan Pelckmans (Uppsala University), Marco Signoretto (KU Leuven), Vanya Van Belle (KU Leuven), Joos Vandewalle (KU Leuven)
Co-sponsored by ERC Advanced Grant
|Mon 9 - Mon 9 Sep-13||Quarterly Meeting of OPTEC WG3|
2:00 pm-5:00 pm
|"Quarterly Meeting of OPTEC Working Group 3 on Parameter and State Estimation"|
The next WG3 meeting will present results from:
- Edwin Reynders
Also WG3 will start the book reading of the book by Tarantola: Inverse Problem Theory and Model Parameter Estimation, which is freelyavailable from the website of the author:
Feel free to join and read the first chapter by September 9!
The final schedule will be given later.