MARS: Meta-Learning as Score Matching in the Function Space

24 October 2022

Papers citing "MARS: Meta-Learning as Score Matching in the Function Space"

9 / 9 papers shown

Title
Reducing Variance in Meta-Learning via Laplace Approximation for Regression Tasks Alfredo Reichlin Gustaf Tegnér Miguel Vasco Hang Yin Mårten Björkman Danica Kragic 21 0 0 02 Oct 2024
Task-Distributionally Robust Data-Free Meta-Learning Zixuan Hu Li Shen Zhenyi Wang Yongxian Wei Baoyuan Wu Chun Yuan Dacheng Tao OOD 20 0 0 23 Nov 2023
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning Arjun Bhardwaj Jonas Rothfuss Bhavya Sukhija Yarden As Marco Hutter Stelian Coros Andreas Krause 11 5 0 13 Nov 2023
Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing Xuwei Yang Anastasis Kratsios Florian Krach Matheus Grasselli Aurélien Lucchi FedML 8 2 0 08 Sep 2023
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 28 29 0 03 Oct 2022
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 191 498 0 11 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017
A Kernel Test of Goodness of Fit Kacper P. Chwialkowski Heiko Strathmann A. Gretton BDL 94 324 0 09 Feb 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 247 9,109 0 06 Jun 2015