no code implementations • 4 Jul 2022 • Naama Parush, Ohad Levinkron-Fisch, Hanan Shteingart, Amir Bar Sela, Amir Zilberman, Jake Klein
In this work we propose using causal inference to estimate the effect of contacting each potential customer and setting the contact policy accordingly.
no code implementations • 21 Jun 2022 • Hanan Shteingart, Gerben Oostra, Ohad Levinkron, Naama Parush, Gil Shabat, Daniel Aronovich
Data science has the potential to improve business in a variety of verticals.
no code implementations • 7 Nov 2021 • Guy Wolf, Gil Shabat, Hanan Shteingart
Positivity is one of the three conditions for causal inference from observational data.
no code implementations • 8 Feb 2020 • Hanan Shteingart, Eran Marom, Igor Itkin, Gil Shabat, Michael Kolomenkin, Moshe Salhov, Liran Katzir
There is a striking relationship between a three hundred years old Political Science theorem named "Condorcet's jury theorem" (1785), which states that majorities are more likely to choose correctly when individual votes are often correct and independent, and a modern Machine Learning concept called "Strength of Weak Learnability" (1990), which describes a method for converting a weak learning algorithm into one that achieves arbitrarily high accuracy and stands in the basis of Ensemble Learning.