Category Archives: Machine Learning
CTR Prediction: From Linear Models to Field-aware Factorization Machines
In computational advertising, evaluating click-through rate (CTR) is one of the most important tasks. The…
Google experiments with Tensorflow on Criteo Dataset
Happy to know that our friends at Google have used our publicly released 1Tb dataset…
Get to know: Working at Criteo AI Lab
A number of people I’ve met at conferences or during job interviews ask me what…
Videos: Machine Learning in the Real World
Machine Learning in the Real World workshop featured top professors from leading universities in the world…
Criteo at NIPS 2016
As a Gold Sponsor of the NIPS Conference, Criteo was more than excited to be…
Dataset Release for Evaluation of Counterfactual Algorithms
Criteo AI Lab is pleased to announce the release of a new dataset to serve…
Data Filtering for Reliable Decision-Making
In this post we present our data-driven approach to design a relevant filter for ABTest…
Damien Lefortier presents: Machine Learning for Display Advertising at Scale at MLconf New York
Abstract This talk, will briefly introduce the display advertising marketplace, its stakeholders and the key…
Videos: Machine Learning Workshop in Criteo
There is a wide gap between academic machine learning and industrial data science. The goal…
Large-scale machine learning at Criteo
At Criteo, machine learning lies at the core of our business. We use machine learning…