Meta-Learning Mean Functions for Gaussian Processes

23 January 2019

Papers citing "Meta-Learning Mean Functions for Gaussian Processes"

9 / 9 papers shown

Title
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 61 0 0 02 Apr 2025
Efficient Model-Based Reinforcement Learning Through Optimistic Thompson Sampling Jasmine Bayrooti Carl Henrik Ek Amanda Prorok 42 0 0 07 Oct 2024
Personalized Federated Learning of Probabilistic Models: A PAC-Bayesian Approach Mahrokh Ghoddousi Boroujeni Andreas Krause Giancarlo Ferrari-Trecate FedML 32 3 0 16 Jan 2024
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 35 4 0 24 Oct 2022
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 21 19 0 26 Oct 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 389 11,700 0 09 Mar 2017
Understanding symmetries in deep networks Vijay Badrinarayanan Bamdev Mishra R. Cipolla 221 42 0 03 Nov 2015