Shantanu Gupta, PhD Student
I am a Ph.D. student in the Machine Learning Department at CMU. I am broadly interested in problems at the intersection of causality and machine learning. My current research is advised by Prof. Zachary Lipton and Prof. David Childers. Previously, I was an undergraduate at NTU, Singapore where I majored in Computer Science.
Research Interests: Causal Inference, Decision-making
Publications
Discovering Optimal Scoring Mechanisms in Causal Strategic Prediction
Tom Yan, Shantanu Gupta, Zachary Lipton
arXiv (preprint), 2023Local Causal Discovery for Estimating Causal Effects
Shantanu Gupta, David Childers, Zachary Lipton
Causal Learning and Reasoning (CLeaR), 2023Efficient Online Estimation of Causal Effects by Deciding What to Observe
Shantanu Gupta, Zachary Lipton, David Childers
Advances in Neural Information Processing Systems (NeurIPS), 2021Correcting Exposure Bias for Link Recommendation
Shantanu Gupta, Hao Wang, Zachary Lipton, Yuyang Wang
International Conference on Machine Learning (ICML), 2021Estimating Treatment Effects with Observed Confounders and Mediators
Shantanu Gupta, Zachary Lipton, David Childers
Uncertainty in Artificial Intelligence (UAI), 2021