Quinn Lanners

According to our database, Quinn Lanners authored at least 7 papers between 2023 and 2025.

Collaborative distances:

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

2025

Data Fusion for Partial Identification of Causal Effects.

Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh

CoRR, May, 2025

2024

Counterfactual Evaluation of Ads Ranking Models through Domain Adaptation.

Mohamed A. Radwan, Himaghna Bhattacharjee, Quinn Lanners, Jiasheng Zhang, Serkan Karakulak, Houssam Nassif, Murat Ali Bayir

CoRR, 2024

Common Event Tethering to Improve Prediction of Rare Clinical Events.

Quinn Lanners, Qin Weng, Marie-Louise Meng, Matthew M. Engelhard

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Safe and Interpretable Estimation of Optimal Treatment Regimes.

Harsh Parikh, Quinn Lanners, Zade Akras, Sahar Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Estimating Trustworthy and Safe Optimal Treatment Regimes.

Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference.

Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

CoRR, 2023

Variable importance matching for causal inference.

Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page

Proceedings of the Uncertainty in Artificial Intelligence, 2023