Alexander Volfovsky

38 papers A* 2A 9B 1Journal 24Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Can Platform Design Encourage Curiosity? Evidence from an Independent Social Media Experiment. CoRR Marie Neubrander, Markus Reiter-Haas, Ben Rochford, Max Allamong, Christopher Bail, Sunshine Hillygus, Alexander Volfovsky
2026	J	`jnl`	TEA-Time: Transporting Effects Across Time. CoRR Harsh Parikh, Gabriel Levin-Konigsberg, Dominique Perrault-Joncas, Alexander Volfovsky
2025	J	`jnl`	A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large? CoRR Graham Tierney, Srikar Katta, Christopher Bail, Sunshine Hillygus, Alexander Volfovsky
2025	J	`jnl`	Data Fusion for Partial Identification of Causal Effects. CoRR Quinn Lanners, Cynthia Rudin, Alexander Volfovsky, Harsh Parikh
2025	J	`jnl`	Scalable Policy Maximization Under Network Interference. CoRR Aidan Gleich, Eric Laber, Alexander Volfovsky
2025	J	`jnl`	dame-flame: A J. Stat. Softw. 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
2024	A*	`conf`	Evaluating Pre-trial Programs Using Interpretable Machine Learning Matching Algorithms for Causal Inference. AAAI Travis Seale-Carlisle, Saksham Jain, Courtney Lee, Caroline Levenson, Swathi Ramprasad, Brandon Garrett, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2024	A	`conf`	Hidden Population Estimation with Indirect Inference and Auxiliary Information. UAI Justin Weltz, Eric Laber, Alexander Volfovsky
2024	A	`conf`	Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data. AISTATS Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
2024	A	`conf`	Safe and Interpretable Estimation of Optimal Treatment Regimes. AISTATS Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2023	J	`jnl`	A Double Machine Learning Approach to Combining Experimental and Observational Data. CoRR Marco Morucci, Vittorio Orlandi, Harsh Parikh, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2023	J	`jnl`	Estimating Trustworthy and Safe Optimal Treatment Regimes. CoRR Harsh Parikh, Quinn Lanners, Zade Akras, Sahar F. Zafar, M. Brandon Westover, Cynthia Rudin, Alexander Volfovsky
2023	A*	`conf`	Experimental Designs for Heteroskedastic Variance. NeurIPS Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain
2023	J	`jnl`	From Feature Importance to Distance Metric: An Almost Exact Matching Approach for Causal Inference. CoRR Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page
2023	J	`jnl`	Interpretable Causal Inference for Analyzing Wearable, Sensor, and Distributional Data. CoRR Srikar Katta, Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
2023	A	`conf`	Variable importance matching for causal inference. UAI Quinn Lanners, Harsh Parikh, Alexander Volfovsky, Cynthia Rudin, David Page
2022	J	`jnl`	MALTS: Matching After Learning to Stretch. J. Mach. Learn. Res. Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
2022	J	`jnl`	Neighborhood Adaptive Estimators for Causal Inference under Network Interference. CoRR Alexandre Belloni, Fei Fang, Alexander Volfovsky
2022	J	`jnl`	Why Interpretable Causal Inference is Important for High-Stakes Decision Making for Critically Ill Patients and How To Do It. CoRR Harsh Parikh, Kentaro Hoffman, Haoqi Sun, Wendong Ge, Jin Jing, Rajesh Amerineni, Lin Liu, Jimeng Sun, Sahar F. Zafar, Aaron Struck, Alexander Volfovsky, Cynthia Rudin, M. Brandon Westover
2021	J	`jnl`	Author Clustering and Topic Estimation for Short Texts. CoRR Graham Tierney, Christopher Bail, Alexander Volfovsky
2021	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. J. Mach. Learn. Res. Tianyu Wang, Marco Morucci, M. Usaid Awan, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2021	J	`jnl`	dame-flame: A Python Library Providing Fast Interpretable Matching for Causal Inference. CoRR 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
2020	A	`conf`	Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. UAI Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	J	`jnl`	Adaptive Hyper-box Matching for Interpretable Individualized Treatment Effect Estimation. CoRR Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	A	`conf`	Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. AISTATS M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2020	J	`jnl`	Almost-Matching-Exactly for Treatment Effect Estimation under Network Interference. CoRR M. Usaid Awan, Marco Morucci, Vittorio Orlandi, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	—	`conf`	Gaussian Mixture Models for Stochastic Block Models with Non-Vanishing Noise. CAMSAP Heather Mathews, Vaishakhi Mayya, Alexander Volfovsky, Galen Reeves
2019	A	`conf`	Interpretable Almost Matching Exactly With Instrumental Variables. UAI M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	A	`conf`	Interpretable Almost-Exact Matching for Causal Inference. AISTATS Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	J	`jnl`	Interpretable Almost-Matching-Exactly With Instrumental Variables. CoRR M. Usaid Awan, Yameng Liu, Marco Morucci, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2019	A	`conf`	SMOGS: Social Network Metrics of Game Success. AISTATS Fan Bu, Sonia Xu, Katherine A. Heller, Alexander Volfovsky
2019	B	`conf`	The Geometry of Community Detection via the MMSE Matrix. ISIT Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky
2019	J	`jnl`	The Geometry of Community Detection via the MMSE Matrix. CoRR Galen Reeves, Vaishakhi Mayya, Alexander Volfovsky
2018	J	`jnl`	Collapsing-Fast-Large-Almost-Matching-Exactly: A Matching Method for Causal Inference. CoRR Awa Dieng, Yameng Liu, Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky
2018	J	`jnl`	MALTS: Matching After Learning to Stretch. CoRR Harsh Parikh, Cynthia Rudin, Alexander Volfovsky
2017	J	`jnl`	FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference. CoRR Sudeepa Roy, Cynthia Rudin, Alexander Volfovsky, Tianyu Wang
2016	—	`ch.`	Networks. Handbook of Big Data Elizabeth L. Ogburn, Alexander Volfovsky
2013	J	`jnl`	Likelihoods for fixed rank nomination networks. Netw. Sci. Peter Hoff, Bailey K. Fosdick, Alexander Volfovsky, Katherine Stovel