Roy, Sudeepa

8 publications

AISTATS 2025 Graph Machine Learning Based Doubly Robust Estimator for Network Causal Effects Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi

AAAI 2024 Evaluating Pre-Trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

JMLR 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

UAI 2020 Adaptive Hyper-Box Matching for Interpretable Individualized Treatment Effect Estimation Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

AISTATS 2020 Almost-Matching-Exactly for Treatment Effect Estimation Under Network Interference Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

UAI 2019 Interpretable Almost Matching Exactly with Instrumental Variables M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

AISTATS 2019 Interpretable Almost-Exact Matching for Causal Inference Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky

UAI 2013 Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases Paul Beame, Jerry Li, Sudeepa Roy, Dan Suciu