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Design of Experiments for Model Discrimination Hybridising Analytical
  and Data-Driven Approaches
v1v2 (latest)

Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches

12 February 2018
Simon Olofsson
M. Deisenroth
Ruth Misener
ArXiv (abs)PDFHTML

Papers citing "Design of Experiments for Model Discrimination Hybridising Analytical and Data-Driven Approaches"

3 / 3 papers shown
Title
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda
  for Developing Practical Guidelines and Tools
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and ToolsConference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
241
21
0
29 Sep 2023
Using Gaussian Processes to Design Dynamic Experiments for Black-Box
  Model Discrimination under Uncertainty
Using Gaussian Processes to Design Dynamic Experiments for Black-Box Model Discrimination under Uncertainty
Simon Olofsson
Eduardo S. Schultz
A. Mhamdi
Alexander Mitsos
M. Deisenroth
Ruth Misener
138
0
0
07 Feb 2021
GPdoemd: a Python package for design of experiments for model
  discrimination
GPdoemd: a Python package for design of experiments for model discrimination
Simon Olofsson
Lukas Hebing
Sebastian Niedenführ
M. Deisenroth
Ruth Misener
229
20
0
05 Oct 2018
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