Patrick Vossler

According to our database, Patrick Vossler authored at least 12 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Adaptive auditing of AI systems with anytime-valid guarantees.

Siyu Zhou, Patrick Vossler, Venkatesh Sivaraman, Yifan Mai, Jean Feng

CoRR, May, 2026

From Fuzzy to Formal: Scaling Hospital Quality Improvement with AI.

Patrick Vossler, Jean Feng, Venkatesh Sivaraman, Robert Gallo, Hemal Kanzaria, Dana Freiser, Christopher Ross, Amy Ou, James Marks, Susan Ehrlich, Christopher Peabody, Lucas Zier

CoRR, April, 2026

More Than "Means to an End": Supporting Reasoning with Transparently Designed AI Data Science Processes.

Venkatesh Sivaraman, Patrick Vossler, Adam Perer, Julian Hong, Jean Feng

CoRR, March, 2026

Human-AI Co-design for Clinical Prediction Models.

Jean Feng, Avni Kothari, Patrick Vossler, Andrew Bishara, Lucas Zier, Newton Addo, Aaron Kornblith, Yan Shuo Tan, Chandan Singh

CoRR, January, 2026

Scaling medical device regulatory science using large language models.

Hanyang Li, Xiao He, Adarsh Subbaswamy, Patrick Vossler, Alexej Gossmann, Karandeep Singh, Jean Feng

npj Digit. Medicine, 2026

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.

Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg, Michele Lee, Jennee Bryant, Melanie F. Molina, James Marks, Lucas Zier, Jean Feng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Judging LLMs on a Simplex.

Patrick Vossler, Fan Xia, Yifan Mai, Jean Feng

CoRR, May, 2025

2024

Estimating and Implementing Conventional Fairness Metrics With Probabilistic Protected Features.

Hadi Elzayn, Emily Black, Patrick Vossler, Nathanael Jo, Jacob Goldin, Daniel E. Ho

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 2024

2023

ODTlearn: A Package for Learning Optimal Decision Trees for Prediction and Prescription.

Patrick Vossler, Sina Aghaei, Nathan Justin, Nathanael Jo, Andrés Gómez, Phebe Vayanos

CoRR, 2023

Deploying a Robust Active Preference Elicitation Algorithm: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization.

Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos

CoRR, 2023

Deploying a Robust Active Preference Elicitation Algorithm on MTurk: Experiment Design, Interface, and Evaluation for COVID-19 Patient Prioritization.

Caroline M. Johnston, Patrick Vossler, Simon Blessenohl, Phebe Vayanos

Proceedings of the 3rd ACM Conference on Equity and Access in Algorithms, 2023

2021

Dimension-Free Average Treatment Effect Inference with Deep Neural Networks.

Xinze Du, Yingying Fan, Jinchi Lv, Tianshu Sun, Patrick Vossler

CoRR, 2021