Learning. Specifically, our study is framed in the context where a reference discrete optimization problem is given and there …

In this paper we survey the most recent advances in supervised machine learning and highdimensional models for time … predictive ability are brie y reviewed. Finally, we discuss application of machine learning in economics and finance and provide …

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social … adage "once you understand OLS, you can work your way up to any other estimator," and apply it to Machine Learning. Focusing … and fire some trailblazers to the forefront of AI and causal machine learning. …

movements are learning as the technology emerges. Self-driving cars represent a high-stakes test of the powers of machine … learning, as well as a test case for social learning in technology governance. Society is learning about the technology while … learning, what are they learning and how are they learning?’ Focusing on the successes and failures of social learning around …