School of Mathematics and Heilbronn Institute
for Mathematical Research are organising a workshop devoted to kernel approximations and space-filling.
The sponsor of this workshop is
Heilbronn Institute
for Mathematical Research
and its main organizer is
Professor Anatoly Zhigljavsky.
The workshop will be held
in the room 3.02, Abacws building, Cardiff, UK.
Participation is free but you need to register by sending the form in doc-format or pdf-format
to space-filling@cardiff.ac.uk
Preliminary programme, July 1
8.55 – 9.00 Opening
9.00 – 9.45 Toni Karvonen.
Translation-invariant kernels
9.50 – 10.35 Pierre-Olivier Amblard. Determinantal point processes
10.40 – 11.25 Rémi Bardenet.
Quadrature in reproducing kernel Hilbert spaces with repulsive point processes
11.30 – 12.00 Konstantin Usevich.
Flat limits
12.00 – 14.00 Lunch
14.00 – 14.30 Luc Pronzato.
Space-filling and kernels
14.35 – 15.05 Anatoly Zhigljavsky.
LSE and BLUE for the location scale model and energy minimization
15.10 – 15.40 Veit Wild.
Generalized variational inference in function spaces: Gaussian measures meet Bayesian deep learning
15.45 – 16.15 Jack Noonan.
Space-filling in large dimensions
16.20 – 16.55 Matt Hutchings.
Sampling strategies for Nyström kernel matrix approximation
17.00 – 17.30 Round table discussion and closure
Invited speakers:
Pierre-Olivier Amblard
CNRS, GIPSA-lab, Dept. Images and Signals, UMR CNRS 521
Rémi Bardenet
CNRS & CRIStAL, Univ. Lille, France
Toni Karvonen
Department of Mathematics and Statistics ,
University of Helsinki, Finland
Luc Pronzato
Laboratoire d'Informatique, Signaux et Systèmes de Sophia-Antipolis
Veit Wild
University of Oxford, UK
Konstantin Usevich
University of Lorraine, France
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