Daniel E. Ho
Publications by Year
Research Areas
Ethics and Social Impacts of AI, Artificial Intelligence in Law, Law, Economics, and Judicial Systems, Legal and Constitutional Studies, Bayesian Modeling and Causal Inference
Most-Cited Works
- → Matching as Nonparametric Preprocessing for Reducing Model Dependence in Parametric Causal Inference(2007)4,293 cited
- → MatchIt: Nonparametric Preprocessing for Parametric Causal Inference(2011)4,251 cited
- → On the Opportunities and Risks of Foundation Models(2021)2,136 cited
- → MatchIt: Nonparametric Preprocessing for Parametric Causal Inference(2005)1,225 cited
- → Advances, challenges and opportunities in creating data for trustworthy AI(2022)477 cited
- → How medical AI devices are evaluated: limitations and recommendations from an analysis of FDA approvals(2021)435 cited
- → Government by Algorithm: Artificial Intelligence in Federal Administrative Agencies(2020)236 cited
- → Population Based Augmentation: Efficient Learning of Augmentation Policy\n Schedules(2019)176 cited
- → Estimating Causal Effects of Ballot Order from a Randomized Natural Experiment(2008)151 cited