[Statlist] FDS Seminar talk with Yurii Nesterov, UC Louvain - 01 June 2023, 16.15 - 17.15

[Kaiser-Heinzmann Susanne]

We are pleased to announce and invite you to the following talk in our FDS seminar series:

„New perspectives for higher-​order methods in Convex Optimization“
by Yurii Nesterov, UC Louvain

Date and Time: Thursday, 01 June 2023, 16.15 - 17.15 (Zurich)
Place: ETH Zurich, HG D 1.2

Abstract: In the recent years, the most important developments in Optimization were related to clarification of abilities of the higher-​order methods. These schemes have potentially much higher rate of convergence as compared to the lower-​order methods. However, the possibility of their implementation in the form of practically efficient algorithms was questionable during decades. In this talk, we discuss different possibilities for advancing in this direction, which avoid all standard fears on tensor methods (memory requirements, complexity of computing the tensor components, etc.). Moreover, in this way we get the new second-​order methods with memory, which converge provably faster than the conventional upper limits provided by the Complexity Theory.

Organisers: A. Bandeira, H. Bölcskei, P. Bühlmann, F. Yang, S. van de Geer

Seminar website: https://math.ethz.ch/sfs/news-and-events/data-science-seminar.html