Sept. 14, 2022, 1:11 a.m. | Hamed Hamze Bajgiran, Pau Batlle Franch, Houman Owhadi, Mostafa Samir, Clint Scovel, Mahdy Shirdel, Michael Stanley, Peyman Tavallali

cs.LG updates on arXiv.org arxiv.org

There are essentially three kinds of approaches to Uncertainty Quantification
(UQ): (A) robust optimization, (B) Bayesian, (C) decision theory. Although (A)
is robust, it is unfavorable with respect to accuracy and data assimilation.
(B) requires a prior, it is generally brittle and posterior estimations can be
slow. Although (C) leads to the identification of an optimal prior, its
approximation suffers from the curse of dimensionality and the notion of risk
is one that is averaged with respect to the distribution …

accuracy arxiv kind posterior quantification uncertainty

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