YoVDO

Workshop on Randomness and Learning on Networks

Offered By: Instituto de Matemática Pura e Aplicada via YouTube

Tags

Graph Theory Courses Machine Learning Courses Statistical Analysis Courses Probability Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore a comprehensive workshop on Randomness and Learning on Networks through this 16-minute video featuring speaker Vinicius Albani. Gain insights into the upcoming event scheduled for July 29th to August 2nd, 2024, organized by the Instituto de Matemática Pura e Aplicada. Discover the workshop's structure, including plenary talks by leading experts, contributed presentations, and minicourses on discrete Probability and Statistics for networks. Learn about the impressive lineup of plenary speakers, including Cynthia Rush, David Gamarnik, Luc Devroye, Miklos Rácz, Michael Drmota, and Simon Griffiths, who will cover topics ranging from high-dimensional model selection to Ramsey Numbers. Understand the opportunities for financial aid, particularly for young researchers and students from South American institutions, as well as funding options for RandNET institution participants. Delve into the minicourses offered by Dieter Mitsche on discrete random models and Keith Levin on statistical network analysis. Access additional resources, including event pages and video playlists, to further enhance your understanding of this exciting workshop on randomness and learning in network science.

Syllabus

Workshop on Randomness and Learning on Networks - Vinicius Albani


Taught by

Instituto de Matemática Pura e Aplicada

Related Courses

Aplicaciones de la teoría de grafos a la vida real
Miríadax
Aplicaciones de la Teoría de Grafos a la vida real
Universitat Politècnica de València via UPV [X]
Introduction to Computational Thinking and Data Science
Massachusetts Institute of Technology via edX
Genome Sequencing (Bioinformatics II)
University of California, San Diego via Coursera
Algorithmic Information Dynamics: From Networks to Cells
Santa Fe Institute via Complexity Explorer