network – NC233

Graph sampling for machine learning at Montreal AI Symposium

I’ll be at the 2019 Montreal AI Symposium today, presenting a poster about Network sampling and an application to Machine Learning:

Network sampling and applications to big data and machine learning from Antoine Rebecq

Featured image: Montreal Skyline, by Taxiarchos228

Sampling graphs – MAD-Stat Seminar at Toulouse School of Economics

Tomorrow (march 23rd), I’ll be presenting my work on sampling designs for graph (and particularly extension sampling designs, with an application to Twitter data) at the MAD Stat seminar of the Toulouse School of Economics. Here are my slides:

Sampling graphs efficiently – MAD Stat (TSE) from Antoine Rebecq

[Sampling] Talk at INSPS – Avignon

I’m in the beautiful city of Avignon for the 3rd ISNPS conference, which is held in the extroardinary Palace of the Popes Convention center. I’ve been invited by Ricardo Cao to give a talk wednesday morning during on sampling methods for big graphs.

Sampling methods for graphs from Antoine Rebecq