Workshop on Randomness and Learning on Networks - Minicourse - Dieter Mitsche - 02

Speaker: Dieter Mitsche - Discrete random models

July 29th to August 2nd, 2024

The first week of the event will consist of a short focused workshop consisting of:
- plenary talks by leading experts in the field;
- a selection of contributed talks
- a minicourse at the MSc/early PhD level in discrete Probability;
- a minicourse on Statistics for networks especially aimed at students with a strong mathematical background;
- plenty of open problem/collaborative work sessions.
The extended program is open to all. A small amount of financial aid will be available, with priority given to young researchers and students from South American institutions.

Participants from RandNET institutions in Europe and Chile may be funded through secondments from this grant; contact the team leader at your institution for more details.

Plenary speakers:
Cynthia Rush (Columbia) – High-dimensional Model Selection Properties of Sorted L1 Penalization (SLOPE) using Approximate Message Passing
David Gamarnik (MIT) – Overlap gap property: An algorithmic barrier to optimization in random structures and statistical physics
Luc Devroye (McGill) – Into Amazonia with the uniform random recursive treeLuc Devroye
Miklos Rácz (Northwestern) – The largest common subtree of uniform attachment trees
Michael Drmota (TU Wien) – Pattern Counts in Random Planar Maps
Simon Griffiths (PUC-Rio) – Ramsey Numbers

Minicourses:
Dieter Mitsche (PUC-Chile)
Discrete random models
*This course will follow into the the first week of the extended program

Keith Levin (Wisconsin)
Introduction to Statistical Network Analysis

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