Feige, Ilya

1. Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
   2019/10/14 by Christopher Frye, Colin Rowat, Frye, Christopher +3 · 11 citations
   Computer Science · #Explainable Artificial Intelligence (XAI) #Bayesian Modeling and Causal Inference #Advanced Graph Neural Networks
2. Shapley explainability on the data manifold
   2020/06/01 by Frye, Christopher, de Mijolla, Damien, Begley, Tom +3 · 6 citations
   #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
3. Explainability for fair machine learning
   2020/10/14 by Tom Begley, Begley, Tom, Tobias Schwedes +5 · 2 citations
   Computer Science · Social Sciences · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
4. Human-interpretable model explainability on high-dimensional data
   2020/10/14 by Damien de Mijolla, de Mijolla, Damien, Christopher Frye +7 · 1 citation
   Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
5. Task-specific experimental design for treatment effect estimation
   2023/06/08 by Connolly, Bethany, Moore, Kim, Schwedes, Tobias +4 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)