activity
20152021
most citedComparing distributions by multiple testing across quantiles or CDF values

78 citations · 104 across the 7 of their papers we have counts for

collaborators

7 papers

stat.ML2021★ 9 cited

Machine Learning for Variance Reduction in Online Experiments

Yongyi Guo, Dominic Coey, Mikael Konutgan +3

We consider the problem of variance reduction in randomized controlled trials, through the use of covariates correlated with the outcome but independent of the treatment. We propos…

cs.SI2020

Network experimentation at scale

Brian Karrer, Liang Shi, Monica Bhole +5

We describe our framework, deployed at Facebook, that accounts for interference between experimental units through cluster-randomized experiments. We document this system, includin…

econ.EM2019

Matching on What Matters: A Pseudo-Metric Learning Approach to Matching Estimation in High Dimensions

Gentry Johnson, Brian Quistorff, Matt Goldman

When pre-processing observational data via matching, we seek to approximate each unit with maximally similar peers that had an alternative treatment status--essentially replicating…

econ.EM2018

Pricing Engine: Estimating Causal Impacts in Real World Business Settings

Matt Goldman, Brian Quistorff

We introduce the Pricing Engine package to enable the use of Double ML estimation techniques in general panel data settings. Customization allows the user to specify first-stage mo…

math.ST2017★ 78 cited

Comparing distributions by multiple testing across quantiles or CDF values

Matt Goldman, David M. Kaplan

When comparing two distributions, it is often helpful to learn at which quantiles or values there is a statistically significant difference. This provides more information than the…

math.ST2016★ 11 cited

Fractional order statistic approximation for nonparametric conditional quantile inference

Matt Goldman, David M. Kaplan

Using and extending fractional order statistic theory, we characterize the coverage probability error of the previously proposed confidence intervals for population qua…

physics.soc-ph2015★ 6 cited

Optimal Strategy in Basketball

Brian Skinner, Matthew Goldman

This book chapter reviews some of the major principles associated with optimal strategy in basketball. In particular, we consider the principles of allocative efficiency (optimal a…