Frederick R. Reiss

Publication Activity (10 Years)

Years Active: 2013-2019
Publications (10 Years): 7

Top Topics

Machine Learning

Plan Generation

Information Extraction Systems

Top Venues

Proc. VLDB Endow.

Publications

Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. CIKM (2019)
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
Compressed linear algebra for declarative large-scale machine learning. Commun. ACM 62 (5) (2019)
Alex Bozarth, Brendan Dwyer, Fei Hu, Daniel Jalova, Karthik Muthuraman, Nick Pentreath, Simon Plovyt, Gabriela de Queiroz, Saishruthi Swaminathan, Patrick Titzler, Xin Wu, Hong Xu, Frederick R. Reiss, Vijay Bommireddipalli
Model Asset eXchange: Path to Ubiquitous Deep Learning Deployment. CoRR (2019)
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
Compressed linear algebra for large-scale machine learning. VLDB J. 27 (5) (2018)
Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H. Peter Hofstee, Frederick R. Reiss, Eva Sitaridi, Huaiyu Zhu
Giving Text Analytics a Boost. CoRR (2018)
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
Scaling Machine Learning via Compressed Linear Algebra. SIGMOD Rec. 46 (1) (2017)
Ahmed Elgohary, Matthias Boehm, Peter J. Haas, Frederick R. Reiss, Berthold Reinwald
Compressed Linear Algebra for Large-Scale Machine Learning. Proc. VLDB Endow. 9 (12) (2016)
Dakshi Agrawal, Ali Raza Butt, Kshitij A. Doshi, Josep Lluís Larriba-Pey, Min Li, Frederick R. Reiss, Francois Raab, Berni Schiefer, Toyotaro Suzumura, Yinglong Xia
SparkBench - A Spark Performance Testing Suite. TPCTC (2015)
Botong Huang, Matthias Boehm, Yuanyuan Tian, Berthold Reinwald, Shirish Tatikonda, Frederick R. Reiss
Resource Elasticity for Large-Scale Machine Learning. SIGMOD Conference (2015)
Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H. Peter Hofstee, Frederick R. Reiss, Huaiyu Zhu, Eva Sitaridi
Giving Text Analytics a Boost. IEEE Micro 34 (4) (2014)
Matthias Böhm, Douglas R. Burdick, Alexandre V. Evfimievski, Berthold Reinwald, Frederick R. Reiss, Prithviraj Sen, Shirish Tatikonda, Yuanyuan Tian
SystemML's Optimizer: Plan Generation for Large-Scale Machine Learning Programs. IEEE Data Eng. Bull. 37 (3) (2014)
Kubilay Atasu, Raphael Polig, Christoph Hagleitner, Frederick R. Reiss
Hardware-accelerated regular expression matching for high-throughput text analytics. FPL (2013)
Laura Chiticariu, Yunyao Li, Frederick R. Reiss
Rule-Based Information Extraction is Dead! Long Live Rule-Based Information Extraction Systems! EMNLP (2013)