the algorithm’s inputs? To answer these questions, we propose a model in which a designer chooses an algorithm that maps … for how to trade off accuracy and fair- ness), and identify simple statistical properties of the algorithm’s inputs that …

We propose a new, highly effective and easy-to-implement algorithm for solving large-scale mean-variance optimization … smaller than the number of assets, which is almost always the case. Our novel algorithm is built on the novel representation … of mean-variance models in terms of the support vector data description --- an unsupervised machine learning algorithm …

public trust—to ensure successful implementation of antitrust by algorithm …

platform-agnostic cryptocurrency mining algorithm using the Stratum protocol to avoid downloading the entire blockchain. We … implement the algorithm in four different platforms- PC, ESP32, an emulator and an old PlayStation Portable (PSP) to demonstrate …

-sized positions in a portfolio, we propose and analyze a throttled harvesting algorithm which controls the active risk arising from …