Myrl G. Marmarelis

According to our database, Myrl G. Marmarelis authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Off-policy Predictive Control with Causal Sensitivity Analysis.

Myrl G. Marmarelis, Ali Hasan, Kamyar Azizzadenesheli, R. Michael Alvarez, Anima Anandkumar

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Estimating Causal Effects of Text Interventions Leveraging LLMs.

Siyi Guo, Myrl G. Marmarelis, Fred Morstatter, Kristina Lerman

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

2024

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks.

Negar Mokhberian, Myrl G. Marmarelis, Frederic R. Hopp, Valerio Basile, Fred Morstatter, Kristina Lerman

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding.

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter

Proceedings of the Causal Learning and Reasoning, 2024

Policy Learning for Localized Interventions from Observational Data.

Myrl G. Marmarelis, Fred Morstatter, Aram Galstyan, Greg Ver Steeg

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

2023

Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding.

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan, Fred Morstatter

CoRR, 2023

Partial identification of dose responses with hidden confounders.

Myrl G. Marmarelis, Elizabeth Haddad, Andrew Jesson, Neda Jahanshad, Aram Galstyan, Greg Ver Steeg

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Causal Sensitivity Analysis for Hidden Confounding: Modeling the Sex-Specific Role of Diet on the Aging Brain.

Elizabeth Haddad, Myrl G. Marmarelis, Talia M. Nir, Aram Galstyan, Greg Ver Steeg, Neda Jahanshad

Proceedings of the Machine Learning in Clinical Neuroimaging - 6th International Workshop, 2023

2022

A Metric Space for Point Process Excitations.

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

J. Artif. Intell. Res., 2022

Bounding the Effects of Continuous Treatments for Hidden Confounders.

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

CoRR, 2022

2020

Event Cartography: Latent Point Process Embeddings.

Myrl G. Marmarelis, Greg Ver Steeg, Aram Galstyan

CoRR, 2020