Multi-task Learning for Aggregated Data using Gaussian Processes

22 June 2019

Papers citing "Multi-task Learning for Aggregated Data using Gaussian Processes"

9 / 9 papers shown

Title
Multi-Scale Graph Learning for Anti-Sparse Downscaling Yingda Fan Runlong Yu Janet R. Barclay A. Appling Yiming Sun Yiqun Xie Xiaowei Jia AI4CE 43 0 0 03 May 2025
Robust and Conjugate Gaussian Process Regression Matias Altamirano F. Briol Jeremias Knoblauch 28 10 0 01 Nov 2023
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya Elizaveta Semenova Swapnil Mishra Samir Bhatt Seth Flaxman H Juliette T Unwin 28 1 0 31 May 2023
Active Learning for Regression with Aggregated Outputs Tomoharu Iwata UQCV 23 0 0 04 Oct 2022
Aggregated Multi-output Gaussian Processes with Knowledge Transfer Across Domains Yusuke Tanaka Toshiyuki Tanaka Tomoharu Iwata Takeshi Kurashima Maya Okawa Yasunori Akagi Hiroyuki Toda 26 0 0 24 Jun 2022
AODisaggregation: toward global aerosol vertical profiles S. Bouabid D. Watson‐Parris Sofija Stefanović A. Nenes Dino Sejdinovic 29 0 0 06 May 2022
Multi-Task Neural Processes Jiayi Shen Xiantong Zhen M. Worring Ling Shao BDL 24 8 0 10 Nov 2021
Using Distance Correlation for Efficient Bayesian Optimization T. Kanazawa 44 3 0 17 Feb 2021
Multi-resolution Multi-task Gaussian Processes Oliver Hamelijnck Theodoros Damoulas Kangrui Wang Mark Girolami 28 38 0 19 Jun 2019