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Train TensorFlow models on YARN in just a few lines of code!

tf-yarn is a Python library we have built at Criteo for training TensorFlow models on a…

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Highlights of our 5 papers accepted to ICML 2019

It’s been a year since we launched our AI Lab to drive and shape innovation…

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Highlights of ScaledML 2019

Five Criteos attended on March 27th & 28th the conference ScaledML 2019 at the Computer History Museum in Mountain…

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Hyper-parameter optimization algorithms: a short review

At Criteo AI Lab, we are using more and more complex machine learning (ML) models…

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Key takeaways from AAAI 2019

We were there for the 2019 edition of AAAI that took place in Honolulu, Hawaii…

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Criteo crashcourse on TensorFlow with Aurélien Géron

As part of our Outreach Program, our AI Lab proud to give to the Machine…

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Learnings from the 2018 French Statistics Week on the concept of “cause”

Introduction  Every two years, the French Society of Statistiques (SFdS) organizes a conference on a statistical topic…

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On Nearest Neighbors and Hubs in High-Dimensional Data

Context As hype is mounting around deep learning, do we still need to care about…

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ICLR 2019: stats, trends, and best papers.

International Conference on Learning Representations (ICLR) is one of the leading conferences in machine learning…

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The 24th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) in 2018 just finished in London, and Criteo was there!

This conference gathered over 3000 attendants at the interface of academia and industry. More than…

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