Happy to know that our friends at Google have used our publicly released 1Tb dataset to benchmark algorithms in Tensorflow. Criteo AI Lab aspires to be a benchmark of excellence in the computational advertising field and it is...

A number of people I’ve met at conferences or during job interviews ask me what we do at Criteo AI Lab, and especially how our work compares to that of an academic researcher or a machine learning engineer....

Machine Learning in the Real World workshop featured top professors from leading universities in the world on December 2016 in our Paris headquarters.  This recurring workshop aims to bring together people from the industry and from academia to better...

As a Gold Sponsor of the NIPS Conference, Criteo was more than excited to be part of the 30th Annual Conference on Neural Information Processing Systems in Barcelona from the 5th to the 9th of December 2016. This...

Criteo AI Lab is pleased to announce the release of a new dataset to serve as a large-scale standardized test-bed for the evaluation of counterfactual learning methods. At Criteo AI Lab, we have access to several large-scale, real-world...

Criteo is organizing the Machine Learning in the Real World workshop. This workshop aims at bringing together people from the industry and from academia to better understand which machine learning algorithms are used in practice and what we...

Product Recommendation at Criteo Recommending to users the right product at the right time is a critical component of Criteo’s success. Doing this at scale, where we need to choose a dozen relevant products from over 5B candidates...

Data filtering for reliable decision making. Photo credit: Getty-images In this post we present our data-driven approach to design a relevant filter for ABTest result analysis… Criteo Engine consists of distinct components (bidder, recommender system, banner renderer, marketplace,...

MLconf New York 15 April, 230 fifth Avenue NY 10001. Abstract This talk, will briefly introduce the display advertising marketplace, its stakeholders and the key performance metrics. We will then present the models we have developed at Criteo...

There is a wide gap between academic machine learning and industrial data science. The goal of this workshop was to bring together researchers from academia and industry to share experiences. In particular, it was an occasion to discuss...