12 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
3 papers
Mechanistic interpretability of large language models with applications to the financial services industry
Ashkan Golgoon, Khashayar Filom, Arjun Ravi Kannan
Large Language Models such as GPTs (Generative Pre-trained Transformers) exhibit remarkable capabilities across a broad spectrum of applications. Nevertheless, due to their intrins…
On marginal feature attributions of tree-based models
Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos +1
Due to their power and ease of use, tree-based machine learning models, such as random forests and gradient-boosted tree ensembles, have become very popular. To interpret them, loc…
Wasserstein-based fairness interpretability framework for machine learning models
Alexey Miroshnikov, Konstandinos Kotsiopoulos, Ryan Franks +1
The objective of this article is to introduce a fairness interpretability framework for measuring and explaining the bias in classification and regression models at the level of a…