Research Area
Year Published

634 Results

September 27, 2017

Forecasting at Scale

The American Statistician 2017

To address the challenges of producing reliable and high-quality data science forecasts, we describe a practical approach to forecasting “at scale” that combines configurable models with analyst-in-the-loop performance analysis.

By: Sean J. Taylor, Ben Letham

February 24, 2018

Applied Machine Learning at Facebook: A Datacenter Infrastructure Perspective

International Symposium on High-Performance Computer Architecture (HPCA)

Facebook’s machine learning workloads are extremely diverse: services require many different types of models in practice. This paper describes the hardware and software infrastructure that supports machine learning at global scale.

By: Kim Hazelwood, Sarah Bird, David Brooks, Soumith Chintala, Utku Diril, Dmytro Dzhulgakov, Mohamed Fawzy, Bill Jia, Yangqing Jia, Aditya Kalro, James Law, Kevin Lee, Jason Lu, Pieter Noordhuis, Misha Smelyanskiy, Liang Xiong, Xiaodong Wang

November 1, 2017

Measuring and Mitigating OAuth Access Token Abuse by Collusion Networks

ACM Internet Measurement Conference (IMC)

We uncover a thriving ecosystem of large-scale reputation manipulation services on Facebook that leverage the principle of collusion.

By: Shehroze Farooqi, Fareed Zafar, Nektarios Leontiadis, Zubair Shafq