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Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.

F. Belletti, E. Sparks, M. Franklin, A. Bayen, and J. Gonzalez. CoRR, (2016)

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Tim Sparks

Evan Rroço

Evan Shellshear

Evan Barba

Evan Austin

Other publications of authors with the same name

Exploiting Reuse in Pipeline-Aware Hyperparameter Tuning.L. Li, E. Sparks, K. Jamieson, and A. Talwalkar. CoRR, (2019)MLlib: Machine Learning in Apache Spark.X. Meng, J. Bradley, B. Yavuz, E. Sparks, S. Venkataraman, D. Liu, J. Freeman, D. Tsai, M. Amde, S. Owen and 6 other author(s). J. Mach. Learn. Res., (2016)TuPAQ: An Efficient Planner for Large-scale Predictive Analytic Queries.E. Sparks, A. Talwalkar, M. Franklin, M. Jordan, and T. Kraska. CoRR, (2015)Kira: Processing Astronomy Imagery Using Big Data Technology.Z. Zhang, K. Barbary, F. Nothaft, E. Sparks, O. Zahn, M. Franklin, D. Patterson, and S. Perlmutter. IEEE Trans. Big Data, 6 (2): 369-381 (2020)AutoML Decathlon: Diverse Tasks, Modern Methods, and Efficiency at Scale.N. Roberts, S. Guo, C. Xu, A. Talwalkar, D. Lander, L. Tao, L. Cai, S. Niu, J. Heng, H. Qin and 17 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 151-170. PMLR, (2021)Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.F. Belletti, E. Sparks, M. Franklin, A. Bayen, and J. Gonzalez. CoRR, (2016)Paleo: A Performance Model for Deep Neural Networks.H. Qi, E. Sparks, and A. Talwalkar. ICLR (Poster), OpenReview.net, (2017)SysML: The New Frontier of Machine Learning Systems.A. Ratner, D. Alistarh, G. Alonso, D. Andersen, P. Bailis, S. Bird, N. Carlini, B. Catanzaro, E. Chung, B. Dally and 56 other author(s). CoRR, (2019)Scientific computing meets big data technology: An astronomy use case.Z. Zhang, K. Barbary, F. Nothaft, E. Sparks, O. Zahn, M. Franklin, D. Patterson, and S. Perlmutter. IEEE BigData, page 918-927. IEEE Computer Society, (2015)Diagnosing Machine Learning Pipelines with Fine-grained Lineage.Z. Zhang, E. Sparks, and M. Franklin. HPDC, page 143-153. ACM, (2017)

BibSonomy

Disambiguation of "Sparks, Evan R."

copy delete add this publication to your clipboard
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URL
DOI
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Chicago
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Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.

Please choose a person to relate this publication to

Tim Sparks

Evan Rroço

Evan Shellshear

Evan Barba

Evan Austin

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Sparks, Evan R."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.

Please choose a person to relate this publication to

Tim Sparks

Evan Rroço

Evan Shellshear

Evan Barba

Evan Austin

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Scalable Linear Causal Inference for Irregularly Sampled Time Series with Long Range Dependencies.