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Variational Learning on Aggregate Outputs with Gaussian Processes

Variational Learning on Aggregate Outputs with Gaussian Processes

22 May 2018
H. Law
Dino Sejdinovic
E. Cameron
T. Lucas
Seth Flaxman
K. Battle
Kenji Fukumizu
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Papers citing "Variational Learning on Aggregate Outputs with Gaussian Processes"

6 / 6 papers shown
Title
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood
Yuta Shikuri
GP
33
0
0
23 Dec 2024
Active Learning for Regression with Aggregated Outputs
Active Learning for Regression with Aggregated Outputs
Tomoharu Iwata
UQCV
18
0
0
04 Oct 2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer
  Across Domains
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains
Yusuke Tanaka
Toshiyuki Tanaka
Tomoharu Iwata
Takeshi Kurashima
Maya Okawa
Yasunori Akagi
Hiroyuki Toda
21
0
0
24 Jun 2022
AODisaggregation: toward global aerosol vertical profiles
AODisaggregation: toward global aerosol vertical profiles
S. Bouabid
D. Watson‐Parris
Sofija Stefanović
A. Nenes
Dino Sejdinovic
19
0
0
06 May 2022
Using Distance Correlation for Efficient Bayesian Optimization
Using Distance Correlation for Efficient Bayesian Optimization
T. Kanazawa
38
3
0
17 Feb 2021
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets
  with Various Granularities
Refining Coarse-grained Spatial Data using Auxiliary Spatial Data Sets with Various Granularities
Yusuke Tanaka
Tomoharu Iwata
Toshiyuki Tanaka
Takeshi Kurashima
Maya Okawa
Hiroyuki Toda
11
14
0
21 Sep 2018
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