Marco Morucci

According to our database, Marco Morucci authored at least 8 papers between 2019 and 2023.

Collaborative distances:

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

2023

A Double Machine Learning Approach to Combining Experimental and Observational Data.

Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2023

Multi-Task Learning Improves Performance In Deep Argument Mining Models.

Amirhossein Farzam, Shashank Shekhar, Isaac Mehlhaff, Marco Morucci

CoRR, 2023

2021

Methods for Robust and Interpretable Causal Inference and Analysis of Image Data for Political Science.

Marco Morucci

PhD thesis, 2021

FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference.

Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

J. Mach. Learn. Res., 2021

dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference.

Neha R. Gupta, Vittorio Orlandi, Chia-Rui Chang, Tianyu Wang, Marco Morucci, Pritam Dey, Thomas J. Howell, Xian Sun, Angikar Ghosal, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

CoRR, 2021

2020

Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation.

Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

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

Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference.

M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Interpretable Almost Matching Exactly With Instrumental Variables.

M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019