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Introduction Every two years, the French Society of Statistiques (SFdS) organizes a conference on a statistical topic for a week. This year was devoted to Causality, starting from philosophical introduction to practical sessions on Bayesian networks. As a researcher in...
Context As hype is mounting around deep learning, do we still need to care about plain nearest neighbors search? There is a recurring pattern in the deep learning pipelines: learn a representation for objects, and perform “simple” operations...
International Conference on Learning Representations (ICLR) is one of the leading conferences in machine learning out there, attracting thousands of participants from academia and industry each year. One of the great things about this conference is its reviewing...
FOCS is one of the top two conferences in theoretical computer science (according to Wikipedia). It has a long history: this year’s edition was the 59th! It has been known with its current name since 1975. It assembles...
On Tuesday, October 9th, we hosted the ML community in France to celebrate the launch of our AI Lab. We wanted to make this event about the evolution of AI in and so we invited an impressive list...
This conference gathered over 3000 attendants at the interface of academia and industry. More than 10 scientists and engineers from Criteo were there! As in most top tier conferences, we were one of the sponsors and our booth...
An engineer turned program manager, our Engineering Program Manager David Lagardere is tasked with leading three of Criteo’s talented engineering teams and driving some of Criteo AI Lab’s biggest projects to success. Having spent the first fifteen years of...
Grenoble-based researcher Amélie Heliou knows a thing or two about game theory. A lifelong learner, she’s researched topics ranging from Bioinformatics to graph theory, and with research, has also traveled the world. She’s not stopping there. Since...
Originally from Morocco, Amine, a Software Engineer in Criteo AI Lab, moved to Paris at the age of 20 to study Engineering before diving headfirst into data science and machine learning. Now an integral part of the team...
