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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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Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations


Feb 14, 2022
Gil I. Shamir, Dong Lin

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Reproducibility in Optimization: Theoretical Framework and Limits


Feb 09, 2022
Kwangjun Ahn, Prateek Jain, Ziwei Ji, Satyen Kale, Praneeth Netrapalli, Gil I. Shamir

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* 51 pages 

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Synthesizing Irreproducibility in Deep Networks


Feb 21, 2021
Robert R. Snapp, Gil I. Shamir

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Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning


Jan 28, 2021
Gil I. Shamir, Wojciech Szpankowski

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Smooth activations and reproducibility in deep networks


Oct 20, 2020
Gil I. Shamir, Dong Lin, Lorenzo Coviello

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Anti-Distillation: Improving reproducibility of deep networks


Oct 19, 2020
Gil I. Shamir, Lorenzo Coviello

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Logistic Regression Regret: What's the Catch?


Feb 19, 2020
Gil I. Shamir

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