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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
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Papers citing
"Weighting Is Worth the Wait: Bayesian Optimization with Importance Sampling"
3 / 3 papers shown
Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction
Knowledge Discovery and Data Mining (KDD), 2021
Kailun Wu
Zhangming Chan
Weijie Bian
Lejian Ren
Shiming Xiang
Shuguang Han
Hongbo Deng
Bo Zheng
374
13
0
21 Dec 2021
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Information Fusion (Inf. Fusion), 2020
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
1.2K
2,461
0
12 Nov 2020
Green Machine Learning via Augmented Gaussian Processes and Multi-Information Source Optimization
Antonio Candelieri
R. Perego
Francesco Archetti
232
21
0
25 Jun 2020
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