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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
Guaranteed Non-convex Optimization: Submodular Maximization over Continuous Domains—0
Guided Exploration of Data Summaries—0
How to be Fair and Diverse?—0
How to Solve Fair k-Center in Massive Data Models—0
How to Solve Fair k-Center in Massive Data Models—0
A Unified Framework for Task-Driven Data Quality Management—0
Interactive Submodular Bandit—0
Interpreting Black Box Predictions using Fisher Kernels—0
Introduction to Core-sets: an Updated Survey—0
Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity—0
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