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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 51–60 of 97 papers

TitleStatusHype
Fast and Private Submodular and k-Submodular Functions Maximization with Matroid Constraints—0
Understanding collections of related datasets using dependent MMD coresetsCode0
Deuteros 2.0: Peptide-level significance testing of data from hydrogen deuterium exchange mass spectrometryCode0
Non-Adaptive Adaptive Sampling on Turnstile Streams—0
How to Solve Fair k-Center in Massive Data Models—0
Regularized Submodular Maximization at Scale—0
Streaming Submodular Maximization under a k-Set System ConstraintCode0
Fair k-Centers via Maximum Matching—0
How to Solve Fair k-Center in Massive Data Models—0
Streaming Submodular Maximization under a k-Set System Constraint—0
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