Context and goal
Big data raises many tough issues, including: storage, transferring, processing, and interpreting. These issues are major challenges of the upcoming decades. This evolution is mirrored both in mathematical optimization and machine learning research by the increasing number of large datasets now available to researchers, along with the number of benchmarks and challenges associated to these datasets exhibiting large scales in all the dimensions of learning problems: the number of examples, the number of features, the number of tasks, and the number of models.
The goal of Titan is to form an alliance between researchers resp. from mathematical optimization and machine learning to tackle these big data challenges in general, with a special interest in processing in astrophysics data. One of our main our research is to develop stochastic and distributed learning and optimization methods for very large antenna networks in radioastronomy.
Scientific Events of 2015
- Workshop OSL "Optimization and Statistical Learning" (Feb. 2015)
- Summer School on large-scale learning (Apr. 2015)
- Large-scale learning and optimization (Nov. 2015)
- Workshop on Optimization for Image and Signal Processing (Dec. 2015)
- two more events in 2016 supported by Titan: Picof, Optim. without Borders
Contributions, realisations of 2015
This year's activities are detailed in the presentation given at the Mastodons workshop in december 2105.People who joined the team during this year 2015: Laurent Condat (Gipsa-Lab), Jalal Fadili (Univ. Caen)
Initial project members
- Massih-Reza Amini, LIG, UJF, Grenoble
- Sylvain Arlot, SIERRA-INRIA and ENS, Paris
- Alexandre d'Aspremont, CNRS and ENS, Paris
- Francis Bach, SIERRA-INRIA and ENS, Paris
- Bernhard Beckermann, UPP, Lille
- Pascal Bianchi, LTCI, Telecom ParisTech, CNRS
- Christophe Biernacki, MODAL-INRIA and UPP, Lille
- Remy Boyer, LTCI, Telecom ParisTech
- Olivier Cappe, L2S, Supelec, Paris Sud
- Alain Celisse, UPP, Lille
- Mohammed Nabil El Korso, LEME, Universite de Paris Ouest-Nanterre
- Andre Ferrari (co-leader), Lagrange, Observatoire de la Cote d'Azur
- Chiara Ferrari, Lagrange, Observatoire de la Cote d'Azur
- Cedric Fevotte, Lagrange, Observatoire de la Cote d'Azur
- Remi Flamary, Lagrange, Observatoire de la Cote d'Azur
- Philippe Forster, SATIE, ENS Cachan, CNAM, UCP
- Gersende Fort, LTCI, Telecom ParisTech
- Walid Hachem, LTCI, Telecom ParisTech
- Franck Iutzeler, UJF and LJK,Grenoble
- Julien Jacques, UPP, Lille
- Anatoli Juditsky, UJF and LJK,Grenoble
- Simon Lacoste-Julien, SIERRA-INRIA and ENS, Paris
- Thierry Lanz, Lagrange, Observatoire de la Cote d'Azur
- Pascal Larzabal, SATIE, ENS Cachan, CNAM, UCP
- Julien Mairal, LEAR-INRIA and LJK,Grenoble
- Jerome Malick (leader), CNRS and LJK,Grenoble
- David Mary, Lagrange, Observatoire de la Cote d'Azur
- Eric Moulines, LTCI, Telecom ParisTech, on leave to X
- Cedric Richard, Lagrange, Observatoire de la Cote d'Azur
- Thomas Rodet, SATIE, ENS Cachan, CNAM, UCP
Previous mastodons projects (with related events and highlights)
The project Titan is the merge of two brothers Mastodons projects of previous years: and Display led by Andre Ferrari, Nice and Gargantua (led Zaid Harchaoui, previously with LJK Grenoble, and now at NYU). This fusion was a clear success : we have had many interactions and pertinent cross-influence. See precise elements on the presentation given at the Mastodons workshop.