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Grigory Yaroslavtsev

This blog will cover theoretical aspects of algorithm design for large data processing. You can subscribe via RSS.

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Recent Posts

What's New in the Big Data Theory 2016

Collection of interesting papers on algorithms for big data from 2016.

The Binary Sketchman

This post discusses some of my recent work on linear compression for binary data.

Teaching “Foundations of Data Science”

Discussion of the class on Foundations of Data Science that I am teaching at IU this Fall.

ESA'16 Deadline Approaching

A quick announcement of the ALGO'16 symposium and the ESA'16 conference.

The Simple Economics of Algorithms for Big Data

In this blog post I want to suggest a simple reason why you should study your algorithms really well if you want to design algorithms that deal with big data.