Applying argmin to assess and mitigate bias Argmin and explainable AI

argmin ! E1y≠ ℎ x classification: ℎ x = .y ≈ y prediction train: test: ground truth standard input features learned model. Page 4. argmin ! E1y≠ ℎ x. Aug 30, 2018 ... The idea is as follows: if we are standing at the point (x_,y_x_) and we change x_ to x_+dx_, then we should be able to "track" the ... May 24, 2022 ... argmin(f(x)) can be considered as arg(min(f(x))) ... def ... ref ... Arg max — Wikipedia ... Sign up to discover human stories that deepen your ... Jun 10, 2017 ... Returns the indices of the minimum values along an axis. See also ndarray.argmin , argmax Notes In case of multiple occurrences of the minimum values, Axis along which the argmin and distances are to be computed. metricstr or callable, default='euclidean'. Metric to use for distance computation. Any metric ... Sep 10, 2015 ... I've always found NumPy to be great for manipulating, analyzing, or transforming arrays containing large numerical data sets. Iterable Collections · argmin(f, domain). Return a value x from domain for which f(x) is minimised. · argmin(itr). Return the index or key of the minimal element ... Jul 2, 2016 ... Calculate the argmin of the sum of absolute values ... When you now think, that's an easy one, just take the sum of the squared distances, take ... In §2.2 we collect some further properties of semiconvex functions, in preparation for §2.3 in which we give a functional equation for the argmin function. Then ... I've been researching machine learning for a little over 20 years. For the past five years or so, with the latest wave of AI overpromising, I think I've been ...