1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Unbiased Decisions Reduce Regret: Adversarial Domain Adaptation for the Bank Loan Problem
Elena Gal, Shaun Singh, Aldo Pacchiano +3
In many real world settings binary classification decisions are made based on limited data in near real-time, e.g. when assessing a loan application. We focus on a class of these p…
cs.LG2023
Practical Policy Optimization with Personalized Experimentation
Mia Garrard, Hanson Wang, Ben Letham +9
Many organizations measure treatment effects via an experimentation platform to evaluate the casual effect of product variations prior to full-scale deployment. However, standard e…
cs.LG2021★ 1 cited
Neural Pseudo-Label Optimism for the Bank Loan Problem
Aldo Pacchiano, Shaun Singh, Edward Chou +2
We study a class of classification problems best exemplified by the \emph{bank loan} problem, where a lender decides whether or not to issue a loan. The lender only observes whethe…