Lage, Isaac

1. Promises and Pitfalls of Black-Box Concept Learning Models
   2021/06/24 by Mahinpei, Anita, Clark, Justin, Lage, Isaac +2 · 12 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
2. An Evaluation of the Human-Interpretability of Explanation
   2019/01/31 by Lage, Isaac, Chen, Emily, He, Jeffrey +4 · 7 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Evaluating Reinforcement Learning Algorithms in Observational Health Settings
   2018/05/31 by Omer Gottesman, Fredrik Johansson, Gottesman, Omer +35 · 3 citations
   Computer Science · Economics, Econometrics and Finance · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Health Systems, Economic Evaluations, Quality of Life #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Healthcare
4. Learning Interpretable Concept-Based Models with Human Feedback
   2020/12/04 by Isaac Lage, Lage, Isaac, Finale Doshi‐Velez +1 · 1 citation
   Computer Science · #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Machine Learning in Healthcare