Compressed linear algebra for largescale machine learning
- Ahmed Elgohary
- Matthias Boehm
- et al.
- 2016
- VLDB 2016
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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
Groupwise analytics via adaptive MapReduce
- Liping Peng
- Vuk Ercegovac
- et al.
- 2015
- ICDE 2015
Dynamic interaction graphs with probabilistic edge decay
- Wenlei Xie
- Yuanyuan Tian
- et al.
- 2015
- ICDE 2015
On transience and recurrence in irreducible finite-state stochastic systems
- Peter W. Glynn
- Peter J. Haas
- 2015
- ACM TOMACS
Improving the efficiency of stochastic composite simulation models via result caching
- Peter J. Haas
- 2014
- WSC 2014
Automated hypothesis generation based on mining scientific literature
- Scott Spangler
- Angela D. Wilkins
- et al.
- 2014
- KDD 2014
Model-data ecosystems: Challenges, tools, and trends
- Peter J. Haas
- 2014
- SIGMOD/PODS 2014
Shared-memory and shared-nothing stochastic gradient descent algorithms for matrix completion
- Faraz Makari
- Christina Teflioudi
- et al.
- 2014
- KAIS
Panel: Are we effectively preparing our students to be certified analytics professionals?
- Russell C. H. Cheng
- Stewart Robinson
- et al.
- 2013
- WSC 2013