Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models. - Emily Black; Hadi Elzayn; Alexandra Chouldechova; Jacob Goldin; Daniel E. Ho (FAccT, 2022)

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. - Peter Henderson 002; Ben Chugg; Brandon R. Anderson; Kristen M. Altenburger; Alex Turk; John Guyton; Jacob Goldin; Daniel E. Ho (AAAI, 2023)

Entropy Regularization for Population Estimation. - Ben Chugg; Peter Henderson 002; Jacob Goldin; Daniel E. Ho (AAAI, 2023)

How Redundant are Redundant Encodings? Blindness in the Wild and Racial Disparity when Race is Unobserved. - Lingwei Cheng; Isabel O. Gallegos; Derek Ouyang; Jacob Goldin; Daniel E. Ho (FAccT, 2023)

Estimating Racial Disparities When Race is Not Observed. - Cory McCartan; Jacob Goldin; Daniel E. Ho; Kosuke Imai (CoRR, 2023)

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. - Hadi Elzayn; Emily Black; Patrick Vossler; Nathanael Jo; Jacob Goldin; Daniel E. Ho (SaTML, 2024)

Forecasting Algorithms for Causal Inference with Panel Data. - Jacob Goldin; Julian Nyarko; Justin Young (EC, 2024)