Speaker: Viggo Andreasen, Associate Professor, Roskilde University Due to an effective control of the initial corona-epidemic, no appreciable susceptible depletion occurred in Denmark until January 2022. Still the basic SIR-type epidemic models provided a useful basis for thinking about epidemic mitigation as well as for communicating to decision makers and the general public. Associate Professor Viggo Andreasen will gives examples of how epidemic models influenced the Danish mitigation strategy during the period where vaccines were not available. Disease transmission in human populations can not be subject to experimentation. This imposes limitations on how models may be used and interpreted.

The Nordic Constraint Network (NordConsNet) Workshop is a yearly event that gathers researchers and industrial practitioners from the Nordic countries to disseminate results about ongoing research, share knowledge about existing projects and foster further development of the network. The NordConsNet Workshop 2023 is the 19th edition of this annual event.

Speaker: Ioannis Caragiannis, Department of Computer Science, Aarhus University Abstract: Cut games are among the most fundamental strategic games in algorithmic game theory. It is well-known that computing an exact pure Nash equilibrium in these games is PLS-hard, so research has focused on computing approximate equilibria. We present a polynomial-time algorithm that computes 2.7371-approximate pure Nash equilibria in cut games. This is the first improvement to the previously best-known bound of 3, due to the work of Bhalgat, Chakraborty, and Khanna from EC 2010. Our algorithm is based on a general recipe proposed by Caragiannis, Fanelli, Gravin, and Skopalik from FOCS 2011 and applied on several potential games since then. The first novelty of our work is the introduction of a phase that can identify subsets of players who can simultaneously improve their utilities considerably. This is done via semidefinite programming and randomized rounding. In particular, a negative objective value to the semidefinite program guarantees that no such considerable improvement is possible for a given set of players. Otherwise, randomized rounding of the SDP solution is used to identify a set of players who can simultaneously improve their strategies considerably and allows the algorithm to make progress. The way rounding is performed is another important novelty of our work. Here, we exploit an idea that dates back to a paper by Feige and Goemans from 1995, but we take it to an extreme that has not been analyzed before. Joint work with Zhile Jiang (to appear in STOC 2023)

Deltag i en QM Masterclass om Geometric Variational Problems under ledelse af Jean-Pierre Bourguignon fra IHÉS og David Langlois fra CNRS. Tilmeld dig nu!

Deltag i en QM Masterclass om Geometric Variational Problems under ledelse af Jean-Pierre Bourguignon fra IHÉS og David Langlois fra CNRS. Tilmeld dig nu!

Deltag i en QM Masterclass om Geometric Variational Problems under ledelse af Jean-Pierre Bourguignon fra IHÉS og David Langlois fra CNRS. Tilmeld dig nu!

Deltag i en QM Masterclass om Geometric Variational Problems under ledelse af Jean-Pierre Bourguignon fra IHÉS og David Langlois fra CNRS. Tilmeld dig nu!

Deltag i en QM Masterclass om Geometric Variational Problems under ledelse af Jean-Pierre Bourguignon fra IHÉS og David Langlois fra CNRS. Tilmeld dig nu!