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)

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)

Sparse and Faithful Explanations Without Sparse Models. - Yiyang Sun; Zhi Chen 009; Vittorio Orlandi; Tong Wang 011; Cynthia Rudin (AISTATS, 2024)

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)