all AI news
Convex Analysis at Infinity: An Introduction to Astral Space. (arXiv:2205.03260v1 [math.OC])
May 9, 2022, 1:11 a.m. | Miroslav Dudík, Ziwei Ji, Robert E. Schapire, Matus Telgarsky
cs.LG updates on arXiv.org arxiv.org
Not all convex functions on $\mathbb{R}^n$ have finite minimizers; some can
only be minimized by a sequence as it heads to infinity. In this work, we aim
to develop a theory for understanding such minimizers at infinity. We study
astral space, a compact extension of $\mathbb{R}^n$ to which such points at
infinity have been added. Astral space is constructed to be as small as
possible while still ensuring that all linear functions can be continuously
extended to the new space. …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Business Intelligence Analyst
@ Rappi | COL-Bogotá
Applied Scientist II
@ Microsoft | Redmond, Washington, United States