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Do less, get more: Streaming submodular maximization with subsampling
Moran Feldman
, Amin Karbasi
, Ehsan Kazemi
Research output
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Conference article
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peer-review
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Dive into the research topics of 'Do less, get more: Streaming submodular maximization with subsampling'. Together they form a unique fingerprint.
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Keyphrases
Submodular Maximization
100%
Approximation Ratio
66%
Matroid
33%
Non-monotone
33%
Tight
33%
Monotone Submodular Functions
33%
Randomized Algorithms
33%
Approximation Guarantee
33%
State-of-the-art Techniques
33%
Streaming Algorithms
33%
Feasible Solution
33%
Video Summarization
33%
Machine Learning Problems
33%
Number of Function Evaluations
33%
Pick-up Locations
33%
Matchoid
33%
Small Memory Footprint
33%
Computer Science
Approximation Ratio
100%
Approximation (Algorithm)
50%
Data Stream
50%
Randomized Algorithm
50%
Feasible Solution
50%
Video Summarization
50%
Learning Problem
50%
Function Evaluation
50%
Memory Footprint
50%
Machine Learning
50%
Learning System
50%