Adarsh Subbaswamy

26 papers A* 1A 4Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`ed.`	Conference on Health, Inference, and Learning, UC Berkeley, Berkeley, USA, 25-27 June 2025. CHIL Xuhai Orson Xu, Edward Choi, Pankhuri Singhal, Walter Gerych, Shengpu Tang, Monica Agrawal, Adarsh Subbaswamy, Elena Sizikova, Jessilyn Dunn, Roxana Daneshjou, Tasmie Sarker, Matthew McDermott, Irene Chen
2025	J	`jnl`	Detecting Dataset Bias in Medical AI: A Generalized and Modality-Agnostic Auditing Framework. CoRR Nathan Drenkow, Mitchell Pavlak, Keith Harrigian, Ayah Zirikly, Adarsh Subbaswamy, Mathias Unberath
2025	J	`jnl`	HistoART: Histopathology Artifact Detection and Reporting Tool. CoRR Seyed Kahaki, Alexander R. Webber, Ghada Zamzmi, Adarsh Subbaswamy, Rucha Deshpande, Aldo Badano
2025	J	`jnl`	Knowledge-based anomaly detection for identifying network-induced shape artifacts. CoRR Rucha Deshpande, Tahsin Rahman, Miguel A. Lago, Adarsh Subbaswamy, Jana G. Delfino, Ghada Zamzmi, Yee Lam Elim Thompson, Aldo Badano, Seyed Kahaki
2024	J	`jnl`	A data-driven framework for identifying patient subgroups on which an AI/machine learning model may underperform. npj Digit. Medicine Adarsh Subbaswamy, Berkman Sahiner, Nicholas Petrick, Vinay Pai, Roy Adams, Matthew C. Diamond, Suchi Saria
2024	A*	`conf`	A hierarchical decomposition for explaining ML performance discrepancies. NeurIPS Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann, Jean Feng
2024	J	`jnl`	A hierarchical decomposition for explaining ML performance discrepancies. CoRR Jean Feng, Harvineet Singh, Fan Xia, Adarsh Subbaswamy, Alexej Gossmann
2024	—	`conf`	Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens. CLeaR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Anthony Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2024	J	`jnl`	Scorecards for Synthetic Medical Data Evaluation and Reporting. CoRR Ghada Zamzmi, Adarsh Subbaswamy, Elena Sizikova, Ed Margerrison, Jana G. Delfino, Aldo Badano
2023	J	`jnl`	Towards a Post-Market Monitoring Framework for Machine Learning-based Medical Devices: A case study. CoRR Jean Feng, Adarsh Subbaswamy, Alexej Gossmann, Harvineet Singh, Berkman Sahiner, Mi-Ok Kim, Gene Pennello, Nicholas Petrick, Romain Pirracchio, Fan Xia
2022	J	`jnl`	A bias evaluation checklist for predictive models and its pilot application for 30-day hospital readmission models. J. Am. Medical Informatics Assoc. H. Echo Wang, Matthew Landers, Roy Adams, Adarsh Subbaswamy, Hadi Kharrazi, Darrell J. Gaskin, Suchi Saria
2022	—	`conf`	Machine Learning for Health (ML4H) 2022. ML4H@NeurIPS 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
2022	J	`jnl`	Machine Learning for Health symposium 2022 - Extended Abstract track. CoRR Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
2022	—	`ed.`	Machine Learning for Health, ML4H 2022, 28 November 2022, New Orleans, Lousiana, USA & Virtual. ML4H@NeurIPS Antonio Parziale, Monica Agrawal, Shalmali Joshi, Irene Y. Chen, Shengpu Tang, Luis Oala, Adarsh Subbaswamy
2021	A	`conf`	Evaluating Model Robustness and Stability to Dataset Shift. AISTATS Adarsh Subbaswamy, Roy Adams, Suchi Saria
2020	J	`jnl`	Evaluating Model Robustness to Dataset Shift. CoRR Adarsh Subbaswamy, Roy Adams, Suchi Saria
2020	J	`jnl`	I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models. CoRR Adarsh Subbaswamy, Suchi Saria
2019	A	`conf`	Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport. AISTATS Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2019	J	`jnl`	The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR Adarsh Subbaswamy, Bryant Chen, Suchi Saria
2019	J	`jnl`	Tutorial: Safe and Reliable Machine Learning. CoRR Suchi Saria, Adarsh Subbaswamy
2018	A	`conf`	Counterfactual Normalization: Proactively Addressing Dataset Shift Using Causal Mechanisms. UAI Adarsh Subbaswamy, Suchi Saria
2018	J	`jnl`	Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms. CoRR Adarsh Subbaswamy, Suchi Saria
2018	J	`jnl`	Learning Predictive Models That Transport. CoRR Adarsh Subbaswamy, Peter Schulam, Suchi Saria
2017	A	`conf`	Learning Treatment-Response Models from Multivariate Longitudinal Data. UAI Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
2017	J	`jnl`	Treatment-Response Models for Counterfactual Reasoning with Continuous-time, Continuous-valued Interventions. CoRR Hossein Soleimani, Adarsh Subbaswamy, Suchi Saria
2013	—	`conf`	Non-Intrusive Occupancy Monitoring using Smart Meters. BuildSys@SenSys Dong Chen, Sean Kenneth Barker, Adarsh Subbaswamy, David Irwin, Prashant J. Shenoy