Machine Learning
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Learning from Multiple Sources for Data-to-Text and Text-to-Data
How to generate fluent text from structured data and vice versa by leveraging heterogeneous data sources. Paper: https://arxiv.org/abs/2302.11269Category: Natural Language ProcessingRevue: AISTATS 2023 Why did we work on this topic (the problem we want to solve)? Data-to-text (D2T) and text-to-data (T2D) are dual tasks that convert structured data such as graphs or tables into fluent text, and…
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Behind the scenes of the PEReN Hackathon: How our team triumphed
TL; DR The Criteo team won the PEReN Hackathon by using clustering approaches to distinguish pricing options from meal delivery data. We launched several exploratory data analysis to learn the data characteristics and extract many good features. The final solution combines a hand-made manual pricing cluster using a distance-fee correlation threshold and the Gaussian Mixture…
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Highlights of ICML 2022
Follow us to Baltimore…. The 39th International Conference on Machine Learning (ICML) took place in Baltimore, the USA, from 17th to 23rd July. ICML is one of the most prestigious conferences in machine learning, and covers a wide range of topics in machine learning from both practical and theoretical viewpoints. As one of the largest…
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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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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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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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Machine Learning Model Deployment
Web-scale ML: Learning is not the (only) point Machine Learning (ML) is all in the news these days to the extent that even government agencies are taking note. Behind the fanfare, ML has been playing a key role in many major businesses for years (e.g. search engines, online advertising, recommendation systems, machine translation, etc. ). At…
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ML Bootcamp at Criteo
Machine Learning (ML) has been at the heart of the Criteo business since the company first began. It is the technology which allows us to present the right ad, to the right person, at the right moment. Today, ML is an important subject in any computer science course but this was not always the case.…