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Weighting Is Worth the Wait: Bayesian Optimization with Importance
  Sampling

Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling

23 February 2020
Setareh Ariafar
Zelda E. Mariet
Ehsan Elhamifar
Dana Brooks
Jennifer Dy
Jasper Snoek
ArXiv (abs)PDFHTML

Papers citing "Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling"

2 / 2 papers shown
Title
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
369
1,947
0
12 Nov 2020
Green Machine Learning via Augmented Gaussian Processes and
  Multi-Information Source Optimization
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization
Antonio Candelieri
R. Perego
Francesco Archetti
47
19
0
25 Jun 2020
1