Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jamie Smith

Scalable and Flexible Deep Bayesian Optimization with Auxiliary Information for Scientific Problems


Apr 23, 2021
Samuel Kim, Peter Y. Lu, Charlotte Loh, Jamie Smith, Jasper Snoek, Marin Soljačić

* 18 pages, 12 figures 

  Access Paper or Ask Questions

Estimating the Spectral Density of Large Implicit Matrices


Feb 09, 2018
Ryan P. Adams, Jeffrey Pennington, Matthew J. Johnson, Jamie Smith, Yaniv Ovadia, Brian Patton, James Saunderson


  Access Paper or Ask Questions

TensorFlow Estimators: Managing Simplicity vs. Flexibility in High-Level Machine Learning Frameworks


Aug 08, 2017
Heng-Tze Cheng, Zakaria Haque, Lichan Hong, Mustafa Ispir, Clemens Mewald, Illia Polosukhin, Georgios Roumpos, D Sculley, Jamie Smith, David Soergel, Yuan Tang, Philipp Tucker, Martin Wicke, Cassandra Xia, Jianwei Xie

* 8 pages, Appeared at KDD 2017, August 13--17, 2017, Halifax, NS, Canada 

  Access Paper or Ask Questions