1 code implementation • 23 Mar 2022 • Samuel Stanton, Wesley Maddox, Nate Gruver, Phillip Maffettone, Emily Delaney, Peyton Greenside, Andrew Gordon Wilson
Bayesian optimization (BayesOpt) is a gold standard for query-efficient continuous optimization.
1 code implementation • 20 Jul 2020 • Vivek Myers, Peyton Greenside
As modern data sets grow, so does the need to scale active search to large data sets and batch sizes.
11 code implementations • ICML 2017 • Avanti Shrikumar, Peyton Greenside, Anshul Kundaje
Here we present DeepLIFT (Deep Learning Important FeaTures), a method for decomposing the output prediction of a neural network on a specific input by backpropagating the contributions of all neurons in the network to every feature of the input.
1 code implementation • 5 May 2016 • Avanti Shrikumar, Peyton Greenside, Anna Shcherbina, Anshul Kundaje
Note: This paper describes an older version of DeepLIFT.