no code implementations • 24 Sep 2021 • Gabriel Deza, Adelin Travers, Colin Rowat, Nicolas Papernot
Indeed, we show in our evaluation that errors in the forecasting model's predictions alone are not sufficient for trading decisions made based on these forecasts to yield a negative return.
1 code implementation • ICLR 2022 • Chris Harris, Richard Pymar, Colin Rowat
The Shapley value is one of the most widely used measures of feature importance partly as it measures a feature's average effect on a model's prediction.
no code implementations • 1 Jan 2021 • Gabriel Deza, Colin Rowat, Nicolas Papernot
Machine learning (ML) models are known to be vulnerable to attacks both at training and test time.
1 code implementation • NeurIPS 2020 • Christopher Frye, Colin Rowat, Ilya Feige
We introduce a less restrictive framework, Asymmetric Shapley values (ASVs), which are rigorously founded on a set of axioms, applicable to any AI system, and flexible enough to incorporate any causal structure known to be respected by the data.