Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
Conference paper
Publications
92 results for Peter J. Haas
Predicting future scientific discoveries based on a networked analysis of the past literature
- Meena Nagarajan
- Angela D. Wilkins
- et al.
- 2015
- KDD 2015
Conference paperDynamic interaction graphs with probabilistic edge decay
- Wenlei Xie
- Yuanyuan Tian
- et al.
- 2015
- ICDE 2015
Conference paperGroupwise analytics via adaptive MapReduce
- Liping Peng
- Vuk Ercegovac
- et al.
- 2015
- ICDE 2015
Conference paperOn transience and recurrence in irreducible finite-state stochastic systems
- Peter W. Glynn
- Peter J. Haas
- 2015
- ACM TOMACS
PaperImproving the efficiency of stochastic composite simulation models via result caching
- Peter J. Haas
- 2014
- WSC 2014
Conference paperAutomated hypothesis generation based on mining scientific literature
- Scott Spangler
- Angela D. Wilkins
- et al.
- 2014
- KDD 2014
Conference paperModel-data ecosystems: Challenges, tools, and trends
- Peter J. Haas
- 2014
- SIGMOD/PODS 2014
Conference paperShared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion
- Faraz Makari
- Christina Teflioudi
- et al.
- 2014
- KAIS
PaperPanel: Are we effectively preparing our students to be certified analytics professionals?
- Russell C. H. Cheng
- Stewart Robinson
- et al.
- 2013
- WSC 2013
Conference paper