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Data Summarization

Data Summarization is a central problem in the area of machine learning, where we want to compute a small summary of the data.

Source: How to Solve Fair k-Center in Massive Data Models

Papers

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Showing 91–97 of 97 papers

TitleStatusHype
Fast Distributed Submodular Cover: Public-Private Data Summarization—0
Linear Relaxations for Finding Diverse Elements in Metric Spaces—0
Less is More: Learning Prominent and Diverse Topics for Data Summarization—0
How to be Fair and Diverse?—0
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains—0
Distributed Submodular Cover: Succinctly Summarizing Massive Data—0
Lazier Than Lazy Greedy—0
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