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Semantic ScholarEvan R. Sparks
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2010 – today
- 2017
[c7]Francois Belletti, Evan R. Sparks, Alexandre M. Bayen, Joseph Gonzalez:
Random projection design for scalable implicit smoothing of randomly observed stochastic processes. AISTATS 2017: 700-708- [c6]Zhao Zhang, Evan R. Sparks, Michael J. Franklin:
Diagnosing Machine Learning Pipelines with Fine-grained Lineage. HPDC 2017: 143-153 - [c5]Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. ICDE 2017: 535-546 - 2016
- [j1]Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar:
MLlib: Machine Learning in Apache Spark. Journal of Machine Learning Research 17: 34:1-34:7 (2016) - [c4]Reza Bosagh Zadeh, Xiangrui Meng, Alexander Ulanov, Burak Yavuz, Li Pu, Shivaram Venkataraman, Evan R. Sparks, Aaron Staple, Matei Zaharia:
Matrix Computations and Optimization in Apache Spark. KDD 2016: 31-38 - [i8]Francois W. Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen, Joseph E. Gonzalez:
Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies. CoRR abs/1603.03336 (2016) - [i7]Evan R. Sparks, Shivaram Venkataraman, Tomer Kaftan, Michael J. Franklin, Benjamin Recht:
KeystoneML: Optimizing Pipelines for Large-Scale Advanced Analytics. CoRR abs/1610.09451 (2016) - 2015
- [c3]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific computing meets big data technology: An astronomy use case. BigData 2015: 918-927 - [c2]Evan R. Sparks, Ameet Talwalkar, Daniel Haas, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
Automating model search for large scale machine learning. SoCC 2015: 368-380 - [i6]Evan R. Sparks, Ameet Talwalkar, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries. CoRR abs/1502.00068 (2015) - [i5]Xiangrui Meng, Joseph K. Bradley, Burak Yavuz, Evan R. Sparks, Shivaram Venkataraman, Davies Liu, Jeremy Freeman, D. B. Tsai, Manish Amde, Sean Owen, Doris Xin, Reynold Xin, Michael J. Franklin, Reza Zadeh, Matei Zaharia, Ameet Talwalkar:
MLlib: Machine Learning in Apache Spark. CoRR abs/1505.06807 (2015) - [i4]Zhao Zhang, Kyle Barbary, Frank Austin Nothaft, Evan R. Sparks, Oliver Zahn, Michael J. Franklin, David A. Patterson, Saul Perlmutter:
Scientific Computing Meets Big Data Technology: An Astronomy Use Case. CoRR abs/1507.03325 (2015) - [i3]Reza Bosagh Zadeh, Xiangrui Meng, Burak Yavuz, Aaron Staple, Li Pu, Shivaram Venkataraman, Evan R. Sparks, Alexander Ulanov, Matei Zaharia:
linalg: Matrix Computations in Apache Spark. CoRR abs/1509.02256 (2015) - [i2]Francois Belletti, Evan R. Sparks, Michael J. Franklin, Alexandre M. Bayen:
Embarrassingly Parallel Time Series Analysis for Large Scale Weak Memory Systems. CoRR abs/1511.06493 (2015) - 2013
- [c1]Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
MLI: An API for Distributed Machine Learning. ICDM 2013: 1187-1192 - [i1]Evan R. Sparks, Ameet Talwalkar, Virginia Smith, Jey Kottalam, Xinghao Pan, Joseph E. Gonzalez, Michael J. Franklin, Michael I. Jordan, Tim Kraska:
MLI: An API for Distributed Machine Learning. CoRR abs/1310.5426 (2013)
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