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2020 – today
- 2024
[c2]Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
:
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML 2024: 161-193- 2023
- [c1]Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos:
Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. EAAMO 2023: 31:1-31:10 - [i4]Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos:
Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. CoRR abs/2306.04061 (2023) - [i3]Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos:
ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR abs/2307.15691 (2023) - [i2]Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho:
Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. CoRR abs/2310.01679 (2023) - 2021
- [i1]Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler:
Dimension-Free Average Treatment Effect Inference with Deep Neural Networks. CoRR abs/2112.01574 (2021)
Coauthor Index
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