Event Cartography: Latent Point Process Embeddings. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan (CoRR, 2020)

Bounding the Effects of Continuous Treatments for Hidden Confounders. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan (CoRR, 2022)

A Metric Space for Point Process Excitations. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan (J. Artif. Intell. Res., 2022)

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 (MLCN@MICCAI, 2023)

Partial identification of dose responses with hidden confounders. - Myrl G. Marmarelis; Elizabeth Haddad; Andrew Jesson; Neda Jahanshad; Aram Galstyan; Greg Ver Steeg (UAI, 2023)

Tighter Prediction Intervals for Causal Outcomes Under Hidden Confounding. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan; Fred Morstatter (CoRR, 2023)

Policy Learning for Localized Interventions from Observational Data. - Myrl G. Marmarelis; Fred Morstatter; Aram Galstyan; Greg Ver Steeg (AISTATS, 2024)

Ensembled Prediction Intervals for Causal Outcomes Under Hidden Confounding. - Myrl G. Marmarelis; Greg Ver Steeg; Aram Galstyan; Fred Morstatter (CLeaR, 2024)

Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks. - Negar Mokhberian; Myrl G. Marmarelis; Frederic R. Hopp; Valerio Basile; Fred Morstatter; Kristina Lerman (NAACL-HLT, 2024)

Estimating Causal Effects of Text Interventions Leveraging LLMs. - Siyi Guo; Myrl G. Marmarelis; Fred Morstatter; Kristina Lerman (CoRR, 2024)

Off-policy Predictive Control with Causal Sensitivity Analysis. - Myrl G. Marmarelis; Ali Hasan; Kamyar Azizzadenesheli; R. Michael Alvarez; Anima Anandkumar (UAI, 2025)