no code implementations • 25 Oct 2021 • Kean Ming Tan, Heather Battey, Wen-Xin Zhou
We address the problem of how to achieve optimal inference in distributed quantile regression without stringent scaling conditions.
no code implementations • 12 Nov 2019 • Nicholas Beale, Heather Battey, Anthony C. Davison, Robert S. MacKay
If an artificial intelligence aims to maximise risk-adjusted return, then under mild conditions it is disproportionately likely to pick an unethical strategy unless the objective function allows sufficiently for this risk.