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09/12/2022
On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models
For industrial-scale advertising systems, prediction of ad click-through...
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02/14/2022
Real World Large Scale Recommendation Systems Reproducibility and Smooth Activations
Real world recommendation systems influence a constantly growing set of ...
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02/09/2022
Reproducibility in Optimization: Theoretical Framework and Limits
We initiate a formal study of reproducibility in optimization. We define...
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02/21/2021
Synthesizing Irreproducibility in Deep Networks
The success and superior performance of deep networks is spreading their...
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01/28/2021
Low Complexity Approximate Bayesian Logistic Regression for Sparse Online Learning
Theoretical results show that Bayesian methods can achieve lower bounds ...
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10/20/2020
Smooth activations and reproducibility in deep networks
Deep networks are gradually penetrating almost every domain in our lives...
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10/19/2020
Anti-Distillation: Improving reproducibility of deep networks
Deep networks have been revolutionary in improving performance of machin...
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02/07/2020
