Sathiya Keerthi Selvaraj
I am a researcher (Principal Staff Scientist) in the AI Group of Linkedin. I work on Distributed training of machine learning and AI systems, Huge scale Linear programming, and Information extraction projects. Previously (Decemebr 2017-December 2019) I was a Distinguished researcher in Criteo Research, a great team of researchers (spread out in Paris, Grenoble and Palo Alto) working on fundamental
Alex Smola
VP, Distinguished Scientist Amazon Web Services Machine Learning 2100 University Avenue Palo Alto, CA 94303 USA email: News I joined Amazon Web Services in July 16, 2016 and am now VP / Distinguished Scientist for Machine Learning. We are building exciting tools for data scientists, computer vision, NLP, deep learning and beyond. For classes in Machine Learning check out my lectures. I am currentl
Ricardo Baeza-Yates' Personal Web Site
Ricardo Baeza-Yates is currently Director of Research (part-time) at the Institute for Experiential AI of Northeastern University, Silicon Valley campus, since January 2021. He is also a member of the DATA Lab at the Khoury College of Computer Sciences. The rest of the time he does consulting for tech startups, companies and non-profit international institutions, particularly in responsible AI. He
Pig | Yahoo! Research
We are creating infrastructure to support ad-hoc analysis of very large data sets. Parallel processing is the name of the game. Our system runs on a cluster computing architecture, on top of which sit several layers of abstraction that ultimately bring the power of parallel computing into the hands of ordinary users. The layers in between automatically translate user queries into efficient paralle
Deepayan Chakrabarti
Estimating Mixed Memberships with Sharp Eigenvector Deviations (JASA, 2021) People belong to multiple overlapping communities. Can we detect these communities from the structure of a social network? We show how one can consistently infer these communities, and the affinities that each person feels towards each community. These follow from a new sharp bound on eigenvectors, which may be of general
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Prabhakar Raghavan | Yahoo! Research
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