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Approximate computation and implicit regularization for very large-scale data analysis

2012
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Proceedings of the 31st symposium on Principles of Database Systems - PODS '12
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Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is very different than the more statistical perspective adopted by statisticians, scientific computers, machine learners, and other who work on what may be broadly termed statistical data analysis. In this article, I will address fundamental aspects of this algorithmic-statistical disconnect, with an eye to bridging the gap

doi:10.1145/2213556.2213579
dblp:conf/pods/Mahoney12
fatcat:orrhrufykval3jltt7cks5z5jq