Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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19 results for Alexandre V. Evfimievski

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-parameter Tuning
- - Krishnateja Killamsetty
  - Guttu Sai Abhishek
  - et al.
- 2022
- NeurIPS 2022
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