Subbaswamy, Adarsh

1. A hierarchical decomposition for explaining ML performance discrepancies
   2024/02/22 by Jean Feng, Harvineet Singh, Feng, Jean +7 · 5 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification
2. Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms
   2018/08/09 by Subbaswamy, Adarsh, Saria, Suchi · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Tutorial: Safe and Reliable Machine Learning
   2019/04/15 by Saria, Suchi, Subbaswamy, Adarsh · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
4. Designing monitoring strategies for deployed machine learning algorithms: navigating performativity through a causal lens
   2023/11/20 by Feng, Jean, Subbaswamy, Adarsh, Gossmann, Alexej +7 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Scorecards for Synthetic Medical Data Evaluation and Reporting
   2024/06/17 by Ghada Zamzmi, Zamzmi, Ghada, Adarsh Subbaswamy +9 · 2 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Databases (cs.DB) #FOS: Computer and information sciences #Machine Learning in Healthcare
6. Evaluating Model Robustness and Stability to Dataset Shift
   2020/10/28 by Adarsh Subbaswamy, Subbaswamy, Adarsh, Roy J. Adams +3 · 2 citations
   Computer Science · Health Professions · Medicine · #FOS: Computer and information sciences #Healthcare Operations and Scheduling Optimization #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare #Sepsis Diagnosis and Treatment