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Rakesh Shivanna

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models

Sep 12, 2022
Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan

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* ORSUM - ACM RecSys, September 23, 2022, Seattle, WA

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Algorithms for Efficiently Learning Low-Rank Neural Networks

Feb 03, 2022
Kiran Vodrahalli, Rakesh Shivanna, Maheswaran Sathiamoorthy, Sagar Jain, Ed H. Chi

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* 52 pages, 4 figures, in submission

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How Many Pairwise Preferences Do We Need to Rank A Graph Consistently?

Nov 06, 2018
Aadirupa Saha, Rakesh Shivanna, Chiranjib Bhattacharyya

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* To appear in Thirty-Third AAAI Conference on Artificial Intelligence, 2019

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