Jacqueline R. M. A. Maasch

According to our database, Jacqueline R. M. A. Maasch authored at least 11 papers between 2022 and 2025.

Collaborative distances:

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

2025

Extracting Post-Acute Sequelae of SARS-CoV-2 Infection Symptoms from Clinical Notes via Hybrid Natural Language Processing.

Zilong Bai, Zihan Xu, Cong Sun, Chengxi Zang, H. Timothy Bunnell, Catherine Sinfield, Jacqueline R. M. A. Maasch, Aaron Thomas Martinez, L. Charles Bailey, Mark G. Weiner, Thomas R. Campion Jr., Thomas Carton, Christopher B. Forrest, Rainu Kaushal, Fei Wang, Yifan Peng

CoRR, August, 2025

Probabilistic Graphical Models: A Concise Tutorial.

Jacqueline R. M. A. Maasch, Willie Neiswanger, Stefano Ermon, Volodymyr Kuleshov

CoRR, July, 2025

Compositional Causal Reasoning Evaluation in Language Models.

Jacqueline R. M. A. Maasch, Alihan Hüyük, Xinnuo Xu, Aditya V. Nori, Javier González

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Reasoning Elicitation in Language Models via Counterfactual Feedback.

Alihan Hüyük, Xinnuo Xu, Jacqueline R. M. A. Maasch, Aditya V. Nori, Javier González

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Local Causal Discovery for Structural Evidence of Direct Discrimination.

Jacqueline R. M. A. Maasch, Kyra Gan, Violet Chen, Agni Orfanoudaki, Nil-Jana Akpinar, Fei Wang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Identification of Parkinson's disease PACE subtypes and repurposing treatments through integrative analyses of multimodal data.

Chang Su, Yu Hou, Jielin Xu, Zhenxing Xu, Manqi Zhou, Alison Ke, Haoyang Li, Jie Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Haotan Zhang, Yingying Zhu, Molly C. Cincotta, Xinghua Shi, Claire Henchcliffe, James B. Leverenz, Jeffrey Cummings, Michael S. Okun, Jiang Bian, Feixiong Cheng, Fei Wang

npj Digit. Medicine, 2024

Hybrid Global Causal Discovery with Local Search.

Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan

CoRR, 2024

Local Discovery by Partitioning: Polynomial-Time Causal Discovery Around Exposure-Outcome Pairs.

Jacqueline R. M. A. Maasch, Weishen Pan, Shantanu Gupta, Volodymyr Kuleshov, Kyra Gan, Fei Wang

Proceedings of the Uncertainty in Artificial Intelligence, 2024

Hybrid Top-Down Global Causal Discovery with Local Search for Linear and Nonlinear Additive Noise Models.

Sujai Hiremath, Jacqueline R. M. A. Maasch, Mengxiao Gao, Promit Ghosal, Kyra Gan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2022

Regularized Data Programming with Bayesian Priors.

Jacqueline R. M. A. Maasch, Hao Zhang, Qian Yang, Fei Wang, Volodymyr Kuleshov

CoRR, 2022

Comprehensively modeling heterogeneous symptom progression for Parkinson's disease subtyping.

Chang Su, Yu Hou, Jielin Xu, Matthew Brendel, Jacqueline R. M. A. Maasch, Zilong Bai, Yingying Zhu, Claire Henchcliffe, Feixiong Cheng, Fei Wang

Proceedings of the AMIA 2022, 2022