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ICML 2020 workshop on “Negative Dependence and Submodularity: Theory and Applications in Machine Learning”
Our workshop will be on either July 17 or 18, and either in Vienna or…
3 papers at ICLR’20 workshop “Causal learning for decision making”
3 papers at ICLR’20 workshop “Causal learning for decision making”: Optimization of Treatment Assignment with…
“Distributionally Robust Counterfactual Risk Minimization” paper at AAAI 2020
This manuscript introduces the idea of using Distributionally Robust Optimization (DRO) for the Counterfactual Risk…
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…
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…
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…
Highlights of ScaledML 2019
Five Criteos attended on March 27th & 28th the conference ScaledML 2019 at the Computer History Museum in Mountain…
Hyper-parameter optimization algorithms: a short review
At Criteo AI Lab, we are using more and more complex machine learning (ML) models…
Key takeaways from AAAI 2019
We were there for the 2019 edition of AAAI that took place in Honolulu, Hawaii…
Criteo crashcourse on TensorFlow with Aurélien Géron
As part of our Outreach Program, our AI Lab proud to give to the Machine…