Search Results for author: Daniel Jiang

Found 4 papers, 3 papers with code

On Noisy Evaluation in Federated Hyperparameter Tuning

1 code implementation17 Dec 2022 Kevin Kuo, Pratiksha Thaker, Mikhail Khodak, John Nguyen, Daniel Jiang, Ameet Talwalkar, Virginia Smith

In this work, we perform the first systematic study on the effect of noisy evaluation in federated hyperparameter tuning.

Federated Learning

Interpretable Personalized Experimentation

no code implementations5 Nov 2021 Han Wu, Sarah Tan, Weiwei Li, Mia Garrard, Adam Obeng, Drew Dimmery, Shaun Singh, Hanson Wang, Daniel Jiang, Eytan Bakshy

Black-box heterogeneous treatment effect (HTE) models are increasingly being used to create personalized policies that assign individuals to their optimal treatments.

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