Subbaswamy, Adarsh

7 publications

NeurIPS 2024 A Hierarchical Decomposition for Explaining ML Performance Discrepancies Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng

CLeaR 2024 Designing Monitoring Strategies for Deployed Machine Learning Algorithms: Navigating Performativity Through a Causal Lens Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

NeurIPSW 2023 Towards a Post-Market Monitoring Framework for Machine Learning-Based Medical Devices: A Case Study Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia

AISTATS 2021 Evaluating Model Robustness and Stability to Dataset Shift Adarsh Subbaswamy, Roy Adams, Suchi Saria

AISTATS 2019 Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport Adarsh Subbaswamy, Peter Schulam, Suchi Saria

UAI 2018 Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms Adarsh Subbaswamy, Suchi Saria

UAI 2017 Learning Treatment-Response Models from Multivariate Longitudinal Data Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria