Exact Algorithms from Approximation Algorithms? (part 2)

As promised in the previous post, I will explain how an algorithm designed for the approximate near neighbor problem, the LSH algorithm, leads to a solution for the exact near neighbor problem (henceforth NNS). While, the algorithm for the exact problem will not have full guarantees, we will be able to give some partial guarantees. Usually … Continue reading Exact Algorithms from Approximation Algorithms? (part 2)

Exact Algorithms from Approximation Algorithms? (part 1)

One great "soft" challenge in (T)CS I find to be how to go on to find useful algorithms for problems that we believe (or have even proven!) to be hard in general. Let me explain by giving the all-too-common-example: Practitioner: I need to solve problem X. Theoretician: Nice question, let me think... Hm, it seems hard. … Continue reading Exact Algorithms from Approximation Algorithms? (part 1)

An Economic Perspective on Academic Publication

By Ittai Abraham and Moshe Babaioff Can we use Economic insights to better understand the ecosystem of Academic Publication? In light of recent changes, how can we optimize this ecosystem? After all, this is a system with many participants with different interests: authors, publishers, academic institutions, consumers (of academic publications) which can all be modeled … Continue reading An Economic Perspective on Academic Publication