Axel Antoniotti
Staff Software Engineer, Criteo

Axel Antoniotti is a staff software engineer at Criteo. His work focuses on developing the platforms and tools that are used by all of Criteo to create any kind of machine learning model, train them, serve them online, and monitor their behavior. He holds an engineering master’s degree from EPITA, a French grande école specialized in computer science.

Sessions

11:00am–11:40am Wednesday, October 30, 2019

Location: Grand Ballroom E

How Criteo optimized and sped up its TensorFlow models by 10x and served them under 5 ms

Applications

Nicolas kowalski (Criteo), Axel Antoniotti (Criteo)

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Criteo's real-time bidding of ad spaces requires its TensorFlow (TF) models to make online predictions in less than 5 ms. Nicolas Kowalski and Axel Antoniotti explain why Criteo moved away from high-level APIs and rewrote its models from scratch, reimplementing cross-features and hashing functions using low-level TF operations in order to factorize as much as possible all TF nodes in its model. Read more.