Jacob Goldin

According to our database, Jacob Goldin authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tradeoffs are Domain Dependent: Improving Accuracy and Fairness in Property Tax Assessments.

Evelyn Smith, Emma Harvey, Christopher Berry, Jacob Goldin, Daniel E. Ho

CoRR, May, 2026

An Accounting Identity for Algorithmic Fairness.

Hadi Elzayn, Jacob Goldin

CoRR, January, 2026

2025

Near-Exponential Savings for Mean Estimation with Active Learning.

Julian M. Morimoto, Jacob Goldin, Daniel E. Ho

CoRR, November, 2025

Near-Exponential Savings for Population Mean Estimation with Active Learning.

Julian M. Morimoto, Jacob Goldin, Daniel E. Ho

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024

Forecasting Algorithms for Causal Inference with Panel Data.

Jacob Goldin, Julian Nyarko, Justin Young

Proceedings of the 25th ACM Conference on Economics and Computation, 2024

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.

Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

Estimating Racial Disparities When Race is Not Observed.

Cory McCartan, Jacob Goldin, Daniel E. Ho, Kosuke Imai

CoRR, 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

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

Entropy Regularization for Population Estimation.

Ben Chugg, Peter Henderson, Jacob Goldin, Daniel E. Ho

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection.

Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Algorithmic Fairness and Vertical Equity: Income Fairness with IRS Tax Audit Models.

Emily Black, Hadi Elzayn, Alexandra Chouldechova, Jacob Goldin, Daniel E. Ho

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022