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Comparing Active Learning Performance Driven by Gaussian Processes or
  Bayesian Neural Networks for Constrained Trajectory Exploration

Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration

28 September 2023
Sapphira Akins
Frances Zhu
ArXivPDFHTML

Papers citing "Comparing Active Learning Performance Driven by Gaussian Processes or Bayesian Neural Networks for Constrained Trajectory Exploration"

2 / 2 papers shown
Title
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
Gaussian Max-Value Entropy Search for Multi-Agent Bayesian Optimization
Haitong Ma
Tianpeng Zhang
Yixuan Wu
Flavio du Pin Calmon
Na Li
26
10
0
10 Mar 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1