no code implementations • 17 Mar 2023 • Konstandinos Kotsiopoulos, Alexey Miroshnikov, Khashayar Filom, Arjun Ravi Kannan
In our work, we focus on a wide class of linear game values, as well as coalitional values, for the marginal game based on a given ML model and predictor vector.
1 code implementation • 16 Feb 2023 • Khashayar Filom, Alexey Miroshnikov, Konstandinos Kotsiopoulos, Arjun Ravi Kannan
We exploit the symmetry to derive an explicit formula, with improved complexity and only in terms of the internal model parameters, for marginal Shapley (and Banzhaf and Owen) values of CatBoost models.
no code implementations • 18 May 2020 • Khashayar Filom, Konrad Paul Kording, Roozbeh Farhoodi
Our approach is a step toward formulating an algebraic description of functional spaces associated with specific neural networks, and may provide new, useful tools for constructing neural networks.
no code implementations • 4 Apr 2019 • Roozbeh Farhoodi, Khashayar Filom, Ilenna Simone Jones, Konrad Paul Kording
Any function can be constructed using a hierarchy of simpler functions through compositions.