Jaron J. R. Lee

According to our database, Jaron J. R. Lee authored at least 10 papers between 2020 and 2024.

Collaborative distances:

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

2024

Zero Inflation as a Missing Data Problem: a Proxy-based Approach.

Trung Phung, Jaron J. R. Lee, Opeyemi Oladapo-Shittu, Eili Y. Klein, Ayse Pinar Gurses, Susan M. Hannum, Kimberly Weems, Jill A. Marsteller, Sara E. Cosgrove, Sara C. Keller, Ilya Shpitser

Proceedings of the Uncertainty in Artificial Intelligence, 2024

A General Identification Algorithm For Data Fusion Problems Under Systematic Selection.

Jaron Jia Rong Lee, AmirEmad Ghassami, Ilya Shpitser

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

An Introduction to Causal Inference Methods for Observational Human-Robot Interaction Research.

Jaron J. R. Lee, Gopika Ajaykumar, Ilya Shpitser, Chien-Ming Huang

CoRR, 2023

Ananke: A Python Package For Causal Inference Using Graphical Models.

Jaron J. R. Lee, Rohit Bhattacharya, Razieh Nabi, Ilya Shpitser

CoRR, 2023

2022

Off-Policy Evaluation in Embedded Spaces.

Jaron J. R. Lee, David Arbour, Georgios Theocharous

CoRR, 2022

2021

Path dependent structural equation models.

Ranjani Srinivasan, Jaron J. R. Lee, Rohit Bhattacharya, Ilya Shpitser

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020

Path Dependent Structural Equation Models.

Ranjani Srinivasan, Jaron J. R. Lee, Narges Ahmidi, Ilya Shpitser

CoRR, 2020

A Semiparametric Approach to Interpretable Machine Learning.

Numair Sani, Jaron J. R. Lee, Razieh Nabi, Ilya Shpitser

CoRR, 2020

Identification Methods With Arbitrary Interventional Distributions as Inputs.

Jaron J. R. Lee, Ilya Shpitser

CoRR, 2020

Identification and Estimation of Causal Effects Defined by Shift Interventions.

Numair Sani, Jaron J. R. Lee, Ilya Shpitser

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020