Patrick Vossler

11 papers A* 1Journal 8Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Human-AI Co-design for Clinical Prediction Models. CoRR Jean Feng, Avni Kothari, Patrick Vossler, Andrew Bishara, Lucas Zier, Newton Addo, Aaron Kornblith, Yan Shuo Tan, Chandan Singh
2026	J	`jnl`	More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes. CoRR Venkatesh Sivaraman, Patrick Vossler, Adam Perer, Julian Hong, Jean Feng
2026	A*	`conf`	When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital. AAAI Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg, Michele Lee, Jennee Bryant, Melanie F. Molina, James Marks, Lucas Zier, Jean Feng
2025	J	`jnl`	Judging LLMs on a Simplex. CoRR Patrick Vossler, Fan Xia, Yifan Mai, Jean Feng
2025	J	`jnl`	When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital. CoRR Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg, Michele Lee, Jennee Bryant, Melanie F. Molina, James Marks, Lucas Zier, Jean Feng
2024	—	`conf`	Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. SaTML Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
2023	—	`conf`	Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. EAAMO Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos
2023	J	`jnl`	Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization. CoRR Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos
2023	J	`jnl`	Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features. CoRR Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho
2023	J	`jnl`	ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription. CoRR Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos
2021	J	`jnl`	Dimension-Free Average Treatment Effect Inference with Deep Neural Networks. CoRR Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler