AI
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Criteo and the Advertising Ethics
An article by Zofia Trstanova and Renaud Bauvin When responding to the usual question ‘What do you do for a living?’, you tell someone that you work in online advertising, the reaction is often the same: ’So you are the ones with the annoying pop-ups I can’t close’ or ‘Oh, you are the ones showing…
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An Insight into the Criteo AI Lab
An article by Morgane Goibert, Alberto Lumbreras & Flavian Vasile from Criteo The Criteo AI Lab is pioneering innovations in computational advertising. Within this center of scientific excellence, distributed across Paris, Grenoble, and Ann Arbor, our researchers and engineers deliver both fundamental and applied scientific leadership through published research, product innovations, and new technologies powering…
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Highlights from NeurIPS 2019
While the holiday season concludes and a brand-new year starts, we look back the incredible 2019 and to all the amazing things that happened and the ones we accomplished. Among others, last December we were back to NeurIPS, and we can’t wait to share all the cool things that we saw there. This year’s edition…
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Highlights of RecSys 2019
Recommendation Systems, Deep Learning, User-Centric, Reproducibility and Multi-Task Authors: Romain Beaumont, Amine Benhalloum, Florian Courtial, Ugo Tanielian, Marina Vinyes, Pranjul Yadav Recsys 2019 took place in Copenhagen and with 909 attendees from around the world, it is the biggest edition so far. RecSys covers a wide variety of topics about recommender systems from their social…
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Highlights of KDD 2019
This year’s 25th edition focused on data science, data mining and large-scale data analytics. We couldn’t miss it, so 11 of us took a long-ride to attend the KDD conference at Anchorage, Alaska, from August 4 to August 8. KDD’19 is a 5 days conference, with 34 workshops, and 12 hands-on tutorials. KDD is organized…
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Data Science: real jobs beyond the buzz
It has been now almost 4 years since I joined Criteo and I still keep a vivid memory of my first day on the job. Hired to lead a team of 4 Data Scientists and being “given access to one of the world’s biggest datasets, and the computing power to exploit it” (as per the…
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My year(s) at Criteo as a visiting professor
After working on theoretical questions in high-dimensional statistics as an academic at UC, Berkeley, I felt I wanted to see what statistics and machine learning were at industrial scale. This is why I joined Criteo in September 2017 to contribute to large-scale machine learning in industry. Friends in France told me that Criteo had positions…
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Suju Rajan on how innovation and machine learning are the core of Criteo
Tell us about your background and how you ended up at Criteo.I started out as an intern building behavioral targeting models in Yahoo Labs and got to experience a variety of exciting applications of machine learning from search relevance to personalized recommendations. In parallel, on the management side, I grew from being an intern to…