Brandon R. Anderson

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 13

Top Topics

Interactive Dynamic Influence Diagrams

Change Detection

Supervised Learning

Top Venues

Publications

Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. AAAI (2023)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping Industrial Poultry Operations at Scale With Deep Learning and Aerial Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15 (2022)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho
Beyond Ads: Sequential Decision-Making Algorithms in Law and Public Policy. CSLAW (2022)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Kristen M. Altenburger, Alex Turk, John Guyton, Jacob Goldin, Daniel E. Ho
Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection. CoRR (2022)
Elinor Benami, Reid Whitaker, Vincent La, Hongjin Lin, Brandon R. Anderson, Daniel E. Ho
The Distributive Effects of Risk Prediction in Environmental Compliance: Algorithmic Design, Environmental Justice, and Public Policy. FAccT (2021)
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. CoRR (2021)
Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
Enhancing Environmental Enforcement with Near Real-Time Monitoring: Likelihood-Based Detection of Structural Expansion of Intensive Livestock Farms. CoRR (2021)
Caleb Robinson, Anthony Ortiz, Juan M. Lavista Ferres, Brandon R. Anderson, Daniel E. Ho
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery. COMPASS (2021)
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
When does pretraining help?: assessing self-supervised learning for law and the CaseHOLD dataset of 53, 000+ legal holdings. ICAIL (2021)
Peter Henderson, Ben Chugg, Brandon R. Anderson, Daniel E. Ho
Beyond Ads: Sequential Decision-Making Algorithms in Public Policy. CoRR (2021)
Ben Chugg, Brandon R. Anderson, Seiji Eicher, Sandy Lee, Daniel E. Ho
Enhancing environmental enforcement with near real-time monitoring: Likelihood-based detection of structural expansion of intensive livestock farms. Int. J. Appl. Earth Obs. Geoinformation 103 (2021)
Caleb Robinson, Ben Chugg, Brandon R. Anderson, Juan M. Lavista Ferres, Daniel E. Ho
Mapping industrial poultry operations at scale with deep learning and aerial imagery. CoRR (2021)
Lucia Zheng, Neel Guha, Brandon R. Anderson, Peter Henderson, Daniel E. Ho
When Does Pretraining Help? Assessing Self-Supervised Learning for Law and the CaseHOLD Dataset. CoRR (2021)