Research

Select projects

🎯	Representation Learning for Sample-Efficient CATE Estimation Maitreyi Swaroop, Shikha Bhat, Samantha Rodriguez, Tamar Krishnamurti, Bryan Wilder Simons Workshop on Bridging Prediction and Intervention Problems in Social Systems, Berkeley, 2026 Paper · Poster
📊	Distributionally Robust Feature Selection Maitreyi Swaroop, Tamar Krishnamurti, Bryan Wilder NeurIPS 2025 Conference, 2025 Paper · Talk
	Learning Macro Variables with Auto-encoders Maitreyi Swaroop, Eric Elmoznino, Dhanya Sridhar, NeurIPS 2023 Workshop on Causal Representation Learning, 2023 Poster of our proposed framework DeepCFL: a simple self-supervised method that learns macro variables and their relations.
✓	interwhen: A Generalizable Framework for Verifiable Reasoning with Test-time Monitors Vishak K. Bhat, Prateek Chanda, Ashmit Khandelwal, Maitreyi Swaroop, Vineeth N. Balasubramanian, Subbarao Kambhampati, Nagarajan Natarajan, Amit Sharma ICLR 2026 Workshops on LLM Reasoning and VerifAI-2, 2026 Paper · Code
🔍	Inferring Groups and Thresholds Maitreyi Swaroop, Nina Corvelo Benz Manuel Gomez Rodriguez, 2022 Our proposed framework to infer groups and thresholds to identify discrimination.

For a brief overview of my research, please see my resume.