Evan Randall Sparks
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
7
Active years
2013–2017
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2017 | AISTATS | Random projection design for scalable implicit smoothing of randomly observed stochastic processes. | Francois Belletti, Evan Randall Sparks, Alexandre M. Bayen, Joseph Gonzalez |
| 2017 | HPDC | Diagnosing Machine Learning Pipelines with Fine-grained Lineage. | Zhao Zhang, Evan Randall Sparks, Michael J. Franklin |
| 2017 | ICDE | KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. | Evan Randall Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht |
| 2017 | ICLR | Paleo: A Performance Model for Deep Neural Networks. | Hang Qi, Evan Randall Sparks, Ameet Talwalkar |
| 2016 | KDD | Matrix Computations and Optimization in Apache Spark. | Reza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan Randall Sparks, Aaron Staple, Matei Zaharia |
| 2015 | CLOUD | Automating model search for large scale machine learning. | Evan Randall Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska |
| 2013 | ICDM | MLI: An API for Distributed Machine Learning. | Evan Randall Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska |