ibc-paris2017 : Information Based Complexity, High-Dimensional Problems
14-15 mars 2017 Paris (France)
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Programme
Mar. 14
Mer. 15
mardi 14 mars 2017
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08:00
09:00
10:00
11:00
12:00
13:00
14:00
15:00
16:00
17:00
›8:30 (30min)
Café d'accueil
8:30 - 9:00 (30min)
Café d'accueil
›9:00 (1h15)
ABC on IBC (I)
Henryk Wozniakowski
9:00 - 10:15 (1h15)
ABC on IBC (I)
Henryk Wozniakowski
https://ibc-paris2017.sciencesconf.org/data/program/absparis_2021.pdf
›10:20 (40min)
Reproducing Kernels of Sobolev Spaces and Applications to Tractability
Erich Novak
10:20 - 11:00 (40min)
Reproducing Kernels of Sobolev Spaces and Applications to Tractability
Erich Novak
https://ibc-paris2017.sciencesconf.org/data/program/ErichN.pdf
›11:00 (20min)
Pause café
11:00 - 11:20 (20min)
Pause café
›11:20 (1h15)
A comprehensive tutorial on quasi-Monte Carlo methods (I)
Dirk Nuyens
11:20 - 12:35 (1h15)
A comprehensive tutorial on quasi-Monte Carlo methods (I)
Dirk Nuyens
https://ibc-paris2017.sciencesconf.org/data/program/DirkN_2.pdf
›12:45 (1h15)
Buffet Déjeuner
12:45 - 14:00 (1h15)
Buffet Déjeuner
›14:00 (1h15)
Compressive sensing and recovery of functions in high dimension (I)
Holger Rauhut
14:00 - 15:15 (1h15)
Compressive sensing and recovery of functions in high dimension (I)
Holger Rauhut
https://ibc-paris2017.sciencesconf.org/data/program/HolgerR_2.pdf
›15:20 (40min)
Optimal approximation by least square methods.
Albert Cohen
15:20 - 16:00 (40min)
Optimal approximation by least square methods.
Albert Cohen
https://ibc-paris2017.sciencesconf.org/data/program/AlbertC_1.pdf
›16:00 (20min)
Pause café
16:00 - 16:20 (20min)
Pause café
›16:20 (40min)
Optimal weighted least-squares methods for high-dimensional approximation
Giovanni Migliorati
16:20 - 17:00 (40min)
Optimal weighted least-squares methods for high-dimensional approximation
Giovanni Migliorati
https://ibc-paris2017.sciencesconf.org/data/program/ibc_paris2017_migliorati_1.pdf
›17:05 (40min)
MCMC design-based non-parametric regression for rare-event. Application to nested risk computations.
Emmanuel Gobet
17:05 - 17:45 (40min)
MCMC design-based non-parametric regression for rare-event. Application to nested risk computations.
Emmanuel Gobet
https://ibc-paris2017.sciencesconf.org/data/program/_126335.pdf
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Logistique
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