Adarsh Subbaswamy

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 18

Top Topics

Hierarchical Decomposition

Causal Relationships

Medical Devices

Top Venues

Publications

Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano
Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR (2024)
Jean Feng, Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann
A hierarchical decomposition for explaining ML performance discrepancies. CoRR (2024)
Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR (2023)
Antonio Parziale, Monica Agrawal, Shengpu Tang, Kristen Severson, Luis Oala, Adarsh Subbaswamy, Sayantan Kumar, Elora D. M. Schörverth, Stefan Hegselmann, Helen Zhou, Ghada Zamzmi, Purity Mugambi, Elena Sizikova, Girmaw Abebe Tadesse, Yuyin Zhou, Taylor W. Killian, Haoran Zhang, Fahad Kamran, Andrea Hobby, Mars Huang, Ahmed Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS (2022)
H. Echo Wang, Matthew Landers, Roy Adams, Adarsh Subbaswamy, Hadi Kharrazi, Darrell J. Gaskin, Suchi Saria
A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. J. Am. Medical Informatics Assoc. 29 (8) (2022)
Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR (2022)
Adarsh Subbaswamy, Roy Adams, Suchi Saria
Evaluating Model Robustness and Stability to Dataset Shift. AISTATS (2021)
Adarsh Subbaswamy, Suchi Saria
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. CoRR (2020)
Adarsh Subbaswamy, Roy Adams, Suchi Saria
Evaluating Model Robustness to Dataset Shift. CoRR (2020)
Suchi Saria, Adarsh Subbaswamy
Tutorial: Safe and Reliable Machine Learning. CoRR (2019)
Adarsh Subbaswamy, Bryant Chen, Suchi Saria
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR (2019)
Adarsh Subbaswamy, Peter Schulam, Suchi Saria
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS (2019)
Adarsh Subbaswamy, Suchi Saria
Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. UAI (2018)
Adarsh Subbaswamy, Suchi Saria
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. CoRR (2018)
Adarsh Subbaswamy, Peter Schulam, Suchi Saria
Learning Predictive Models That Transport. CoRR (2018)
Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. CoRR (2017)
Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
Learning Treatment-Response Models from Multivariate Longitudinal Data. UAI (2017)
Dong Chen, Sean Kenneth Barker, Adarsh Subbaswamy, David E. Irwin, Prashant J. Shenoy
Non-Intrusive Occupancy Monitoring using Smart Meters. BuildSys@SenSys (2013)