Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
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17 results for Matthias Boehm
Compiling machine learning algorithms with systemML
- M. Boehm
- D. Burdick
- et al.
- 2013
- SoCC 2013
Learning explainable linguistic expressions with neural inductive logic programming for sentence classification
- Prithviraj Sen
- Marina Danilevsky
- et al.
- 2020
- EMNLP 2020
MNC: Structure-exploiting sparsity estimation for matrix expressions
- Johanna Sommer
- Matthias Boehm
- et al.
- 2019
- SIGMOD 2019
Efficient data-parallel cumulative aggregates for large-scale machine learning
- Matthias Boehm
- Alexandre V. Evfimievski
- et al.
- 2019
- BTW/DBIS 2019
Data management in machine learning: Challenges, techniques, and systems
- Arun Kumar
- Matthias Boehm
- et al.
- 2017
- SIGMOD 2017
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
Resource elasticity for large-scale machine learning
- Botong Huang
- Matthias Boehm
- et al.
- 2015
- SIGMOD 2015
On optimizing machine learning workloads via kernel fusion
- Arash Ashari
- Shirish Tatikonda
- et al.
- 2015
- PPoPP 2015
Large scale discriminative metric learning
- Peter D. Kirchner
- Matthias Boehm
- et al.
- 2014
- IPDPSW 2014