432 citations · 599 across the 16 of their papers we have counts for
3 papers · 1 filter
Machine-Learning Tests for Effects on Multiple Outcomes
Jens Ludwig, Sendhil Mullainathan, Jann Spiess
In this paper we present tools for applied researchers that re-purpose off-the-shelf methods from the computer-science field of machine learning to create a "discovery engine" for…
The Theory is Predictive, but is it Complete? An Application to Human Perception of Randomness
Jon Kleinberg, Annie Liang, Sendhil Mullainathan
When we test a theory using data, it is common to focus on correctness: do the predictions of the theory match what we see in the data? But we also care about completeness: how muc…
Comparison-Based Choices
Jon Kleinberg, Sendhil Mullainathan, Johan Ugander
A broad range of on-line behaviors are mediated by interfaces in which people make choices among sets of options. A rich and growing line of work in the behavioral sciences indicat…