Randomly Projected Additive Gaussian Processes for Regression

30 December 2019

Papers citing "Randomly Projected Additive Gaussian Processes for Regression"

8 / 8 papers shown

Title
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences Miguel González Duque Richard Michael Simon Bartels Yevgen Zainchkovskyy Søren Hauberg Wouter Boomsma 44 4 0 07 Jun 2024
Dynamic Online Ensembles of Basis Expansions Daniel Waxman Petar M. Djurić 45 3 0 02 May 2024
Spatio-Temporal Attention and Gaussian Processes for Personalized Video Gaze Estimation Swati Jindal Mohit Yadav Roberto Manduchi 34 5 0 08 Apr 2024
Representing Additive Gaussian Processes by Sparse Matrices Lu Zou Haoyuan Chen Liang Ding 20 0 0 29 Apr 2023
Recent Advances in Bayesian Optimization Xilu Wang Yaochu Jin Sebastian Schmitt Markus Olhofer 38 199 0 07 Jun 2022
High-dimensional additive Gaussian processes under monotonicity constraints A. F. López-Lopera F. Bachoc O. Roustant 35 9 0 17 May 2022
High Dimensional Bayesian Optimization with Kernel Principal Component Analysis Kirill Antonov E. Raponi Hao Wang Carola Doerr 25 10 0 28 Apr 2022
High-Dimensional Non-Linear Variable Selection through Hierarchical Kernel Learning Francis R. Bach BDL 126 73 0 04 Sep 2009