Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. - Caleb Robinson; Anthony Ortiz; Juan M. Lavista Ferres; Brandon R. Anderson; Daniel E. Ho (COMPASS, 2021)

The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy. - Elinor Benami; Reid Whitaker; Vincent La; Hongjin Lin; Brandon R. Anderson; Daniel E. Ho (FAccT, 2021)

When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings. - Lucia Zheng; Neel Guha; Brandon R. Anderson; Peter Henderson 002; Daniel E. Ho (ICAIL, 2021)

Enhancing environmental enforcement with near real-time monitoring: Likelihood-based detection of structural expansion of intensive livestock farms. - Ben Chugg; Brandon R. Anderson; Seiji Eicher; Sandy Lee; Daniel E. Ho (Int. J. Appl. Earth Obs. Geoinformation, 2021)

When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. - Lucia Zheng; Neel Guha; Brandon R. Anderson; Peter Henderson 002; Daniel E. Ho (CoRR, 2021)

Beyond Ads: Sequential Decision-Making Algorithms in Public Policy. - Peter Henderson 002; Ben Chugg; Brandon R. Anderson; Daniel E. Ho (CoRR, 2021)

Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy. - Peter Henderson 002; Ben Chugg; Brandon R. Anderson; Daniel E. Ho (CSLAW, 2022)

Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. - Caleb Robinson; Ben Chugg; Brandon R. Anderson; Juan M. Lavista Ferres; Daniel E. Ho (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 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)