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Adarsh Subbaswamy
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2020 – today
- 2024
- [c7]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: 587-608 - [i11]Jean Feng, Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann:
A hierarchical decomposition for explaining ML performance discrepancies. CoRR abs/2402.14254 (2024) - [i10]Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano:
Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR abs/2406.11143 (2024) - 2023
- [i9]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 abs/2311.11463 (2023) - 2022
- [j1]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): 1323-1333 (2022) - [c6]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 M. Alaa, Harvineet Singh, Irene Y. Chen, Shalmali Joshi:
Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 2022: 1-11 - [e1]Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy:
Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. Proceedings of Machine Learning Research 193, PMLR 2022 [contents] - [i8]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 abs/2211.15564 (2022) - 2021
- [c5]Adarsh Subbaswamy, Roy Adams, Suchi Saria:
Evaluating Model Robustness and Stability to Dataset Shift. AISTATS 2021: 2611-2619 - 2020
- [i7]Adarsh Subbaswamy, Suchi Saria:
I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. CoRR abs/2002.08948 (2020) - [i6]Adarsh Subbaswamy, Roy Adams, Suchi Saria:
Evaluating Model Robustness to Dataset Shift. CoRR abs/2010.15100 (2020)
2010 – 2019
- 2019
- [c4]Adarsh Subbaswamy, Peter Schulam, Suchi Saria:
Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS 2019: 3118-3127 - [i5]Suchi Saria, Adarsh Subbaswamy:
Tutorial: Safe and Reliable Machine Learning. CoRR abs/1904.07204 (2019) - [i4]Adarsh Subbaswamy, Bryant Chen, Suchi Saria:
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR abs/1905.11374 (2019) - 2018
- [c3]Adarsh Subbaswamy, Suchi Saria:
Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. UAI 2018: 947-957 - [i3]Adarsh Subbaswamy, Suchi Saria:
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. CoRR abs/1808.03253 (2018) - [i2]Adarsh Subbaswamy, Peter Schulam, Suchi Saria:
Learning Predictive Models That Transport. CoRR abs/1812.04597 (2018) - 2017
- [c2]Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria:
Learning Treatment-Response Models from Multivariate Longitudinal Data. UAI 2017 - [i1]Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria:
Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. CoRR abs/1704.02038 (2017) - 2013
- [c1]Dong Chen, Sean Kenneth Barker, Adarsh Subbaswamy, David E. Irwin, Prashant J. Shenoy
Non-Intrusive Occupancy Monitoring using Smart Meters. BuildSys@SenSys 2013: 9:1-9:8
Coauthor Index
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