Evan R. Sparks
Cited by
Cited by
Mllib: Machine learning in apache spark
X Meng, J Bradley, B Yavuz, E Sparks, S Venkataraman, D Liu, ...
The Journal of Machine Learning Research 17 (1), 1235-1241, 2016
MLI: An API for distributed machine learning
ER Sparks, A Talwalkar, V Smith, J Kottalam, X Pan, J Gonzalez, ...
2013 IEEE 13th International Conference on Data Mining, 1187-1192, 2013
Automating model search for large scale machine learning
ER Sparks, A Talwalkar, D Haas, MJ Franklin, MI Jordan, T Kraska
Proceedings of the Sixth ACM Symposium on Cloud Computing, 368-380, 2015
Keystoneml: Optimizing pipelines for large-scale advanced analytics
ER Sparks, S Venkataraman, T Kaftan, MJ Franklin, B Recht
2017 IEEE 33rd international conference on data engineering (ICDE), 535-546, 2017
Matrix computations and optimization in apache spark
R Bosagh Zadeh, X Meng, A Ulanov, B Yavuz, L Pu, S Venkataraman, ...
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge …, 2016
TOCTOU, traps, and trusted computing
S Bratus, N D¢Cunha, E Sparks, SW Smith
International Conference on Trusted Computing, 14-32, 2008
A Security Assessment of Trusted Platform Modules
ER Sparks
Technical report, Department of Computer Science, 2007
Paleo: A Performance Model for Deep Neural Networks.
H Qi, ER Sparks, A Talwalkar
ICLR (Poster), 2017
Scientific computing meets big data technology: An astronomy use case
Z Zhang, K Barbary, FA Nothaft, E Sparks, O Zahn, MJ Franklin, ...
2015 IEEE International Conference on Big Data (Big Data), 918-927, 2015
Kira: Processing astronomy imagery using big data technology
Z Zhang, K Barbary, FA Nothaft, ER Sparks, O Zahn, MJ Franklin, ...
IEEE Transactions on Big Data 6 (2), 369-381, 2016
Tupaq: An efficient planner for large-scale predictive analytic queries
ER Sparks, A Talwalkar, MJ Franklin, MI Jordan, T Kraska
arXiv preprint arXiv:1502.00068, 2015
Search activity prediction
C Ahlberg, B Ladd, E Sparks
US Patent App. 13/657,825, 2014
Mlbase: A distributed machine learning wrapper
A Talwalkar, T Kraska, R Griffith, J Duchi, J Gonzalez, D Britz, X Pan, ...
NIPS Big Learning Workshop, 35, 2012
SysML: The New Frontier of Machine Learning Systems.
A Ratner, D Alistarh, G Alonso, DG Andersen, P Bailis, S Bird, N Carlini, ...
Diagnosing machine learning pipelines with fine-grained lineage
Z Zhang, ER Sparks, MJ Franklin
Proceedings of the 26th International Symposium on High-Performance Parallel …, 2017
ML pipelines: a new high-level API for MLlib
X Meng, J Bradley, E Sparks, S Venkataraman
Databricks Blog. Available online: https://databricks. com/blog/2015/01/07 …, 2015
A security assessment of trusted platform modules computer science technical report TR2007-597
ER Sparks, ER Sparks
Dept. Comput. Sci., Dartmouth College, Hanover, NH, USA, Tech. Rep., TR2007-597, 2007
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
F Belletti, E Sparks, A Bayen, J Gonzalez
Artificial Intelligence and Statistics, 700-708, 2017
linalg: Matrix computations in apache spark
RB Zadeh, X Meng, B Yavuz, A Staple, L Pu, S Venkataraman, E Sparks, ...
arXiv preprint arXiv:1509.02256, 13, 2015
Nine Young Bankers Who Changed America: Thomas Sudman
E Sparks
ABA Banking Journal, 2017
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