AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- Krishnateja Killamsetty
- Guttu Sai Abhishek
- et al.
- 2022
- NeurIPS 2022
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19 results for Alexandre V. Evfimievski
Compiling machine learning algorithms with systemML
- M. Boehm
- D. Burdick
- et al.
- 2013
- SoCC 2013
On optimizing operator fusion plans for largeScale Machine Learning in System ML
- Matthias Boehm
- Berthold Reinwald
- et al.
- 2018
- VLDB
SystemML: Declarative machine learning on Spark
- Matthias Boehm
- Michael W. Dusenberry
- et al.
- 2015
- VLDB
Epistemic privacy
- Alexandre Evfimievski
- Ronald Fagin
- et al.
- 2010
- Journal of the ACM
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
A Rectangle Mining Method for Understanding the Semantics of Financial Tables
- Xilun Chen
- Laura Chiticariu
- et al.
- 2017
- ICDAR 2017
SPOOF: Sum-product optimization and operator fusion for large-scale machine learning
- Tarek Elgamal
- Shangyu Luo
- et al.
- 2017
- CIDR 2017
Efficient sample generation for scalable meta learning
- Sebastian Schelter
- Juan Soto
- et al.
- 2015
- ICDE 2015