Many estimation and inference procedures rely on asymptotic approximations for quantities that are unknown to researchers. While often convenient, such approximations can be poor in practice, even when the number of observations is ostensibly large. One response is to eschew asymptotics in favor of finite sample bounds. While remarkable progress...