11 Lecture 17: Sublinear-time algorithms COMS E6998-9 F15.

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Presentation transcript:

11 Lecture 17: Sublinear-time algorithms COMS E F15

Administrivia, Plan Admin: – My office hours after class (CSB517) Plan: – Finalize embeddings – Sublinear-time algorithms – Projects Scriber? 2

Metric Upper bound Ulam (edit distance between permutations) Block edit distance edit( , ) = 2 edit( banana, ananas ) = 2

Metric Upper bound Ulam (edit distance between permutations) Block edit distance Lower bounds 4/3 [Cor03]

Sublinear-time algorithms 5

Setup Can we get away with not even looking at all data? – Just use a sample… Where do we get samples? – stored on disk, passing through a router, etc – Data comes as a sample – Observation of a “natural” phenomenon

Two types of algorithms 7

Distribution Testing

Approximation: total variation 9

Algorithm attempt 10

Algorithm for Uniformity Counts the number of collisions Intuition: – If not uniform, more likely to have more collisions

Algorithm intuition

Analysis 13

Analysis 14

Projects 15