Sep 28, 2017 · The goal is to find an approximately feasible and optimal solution to the underlying LP with high probability while drawing a small number of ...
scholar.google.com › citations
The algorithm can iteratively choose an unknown parameter and gather information in the form of a noisy sample centered at the parameter's (unknown) value. The ...
We consider partially-specified optimization problems where the goal is to actively, but efficiently, acquire missing information about.
This work considers partially-specified optimization problems where the goal is to actively, but efficiently, acquire missing information about the problem ...
CU Boulder Authors. Waggoner, Bo ; publication date. August 6, 2018 ; Date in CU Experts. January 28, 2022 9:04 AM ; Full Author List. Zheng S; Waggoner B; Liu Y; ...
May 12, 2019 · Shuran Zheng, Bo Waggoner, Yang Liu, and Yiling Chen. 2018. “Active Information Acquisition for Linear Optimization.
Active Information Acquisition for Linear Optimization. - dblp
dblp.org › rec › corr › abs-1709-10061
Bibliographic details on Active Information Acquisition for Linear Optimization.
Induction-time active learning focuses on acquiring information for the pool of data used to train a diagnostic model; diagnosis-time information acquisition ...
People also ask
What are linear optimization techniques?
What is a linear optimization model comprised of?
The message of my work is that transitioning from static, manual data collection to autonomous robot deployments will result in accurate and efficient sampling, ...
Missing: Optimization. | Show results with:Optimization.
[PDF] Decentralized Active Information Acquisition - George J. Pappas
www.georgejpappas.org › 2024/04
Abstract—This paper addresses the problem of controlling mobile sensing systems to improve the accuracy and efficiency of gathering information autonomously ...