This talk is going to be about my long-a** paper on #causalinference and #networkreconstruction. The paper is long but the ideas are simple! We are going to improve lagged correlation as a measure of structure by accounting for the #networkMotifs that usually mess up our inference results: direct #confoundingFactors and #reverseCausation
Why most programming language performance comparisons are most likely wrong

For as long as programming languages have existed, people have fought over which one of them is the fastest. These debates have ranged from ...