Interpretable Almost Matching Exactly With Instrumental Variables. - M. Usaid Awan; Yameng Liu; Marco Morucci; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (UAI, 2019)

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. - M. Usaid Awan; Marco Morucci; Vittorio Orlandi; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (AISTATS, 2020)

Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. - Marco Morucci; Vittorio Orlandi; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (UAI, 2020)

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. - Neha R. Gupta; Vittorio Orlandi; Chia-Rui Chang; Tianyu Wang 008; Marco Morucci; Pritam Dey; Thomas J. Howell; Xian Sun; Angikar Ghosal; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2021)

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. - Tianyu Wang 008; Marco Morucci; M. Usaid Awan; Yameng Liu; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (J. Mach. Learn. Res., 2021)

Methods for Robust and Interpretable Causal Inference and Analysis of Image Data for Political Science. - Marco Morucci (2021)

Multi-Task Learning Improves Performance In Deep Argument Mining Models. - Amirhossein Farzam; Shashank Shekhar; Isaac Mehlhaff; Marco Morucci (CoRR, 2023)

A Double Machine Learning Approach to Combining Experimental and Observational Data. - Marco Morucci; Vittorio Orlandi; Harsh Parikh; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (CoRR, 2023)

dame-flame: A Python Package Providing Fast Interpretable Matching for Causal Inference. - Neha R. Gupta; Vittorio Orlandi; Chia-Rui Chang; Tianyu Wang 008; Marco Morucci; Pritam Dey; Thomas J. Howell; Xian Sun; Angikar Ghosal; Sudeepa Roy 001; Cynthia Rudin; Alexander Volfovsky (J. Stat. Softw., 2025)