Meta-Learning Reliable Priors in the Function Space

6 June 2021

Papers citing "Meta-Learning Reliable Priors in the Function Space"

24 / 24 papers shown

Title
OCCAM: Online Continuous Controller Adaptation with Meta-Learned Models Hersh Sanghvi Spencer Folk Camillo J. Taylor 40 3 0 25 Jun 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 Feb 2024
Meta-learning to Calibrate Gaussian Processes with Deep Kernels for Regression Uncertainty Estimation Tomoharu Iwata Atsutoshi Kumagai BDL UQCV 22 1 0 13 Dec 2023
A General Framework for User-Guided Bayesian Optimization Carl Hvarfner Frank Hutter Luigi Nardi GP 35 11 0 24 Nov 2023
Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks Dominik Schnaus Jongseok Lee Daniel Cremers Rudolph Triebel UQCV BDL 38 1 0 15 Jul 2023
Model-Assisted Probabilistic Safe Adaptive Control With Meta-Bayesian Learning Shengbo Wang Ke Li Yin Yang Yuting Cao Tingwen Huang S. Wen 21 4 0 03 Jul 2023
DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning Jun Shu Xiang Yuan Deyu Meng Zongben Xu 28 4 0 13 May 2023
Thompson Sampling with Diffusion Generative Prior Yu-Guan Hsieh S. Kasiviswanathan B. Kveton Patrick Blobaum DiffM 27 7 0 12 Jan 2023
PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison H. Flynn David Reeb M. Kandemir Jan Peters OffRL 13 7 0 29 Nov 2022
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice Jonas Rothfuss Martin Josifoski Vincent Fortuin Andreas Krause 37 7 0 14 Nov 2022
Lifelong Bandit Optimization: No Prior and No Regret Felix Schur Parnian Kassraie Jonas Rothfuss Andreas Krause 38 3 0 27 Oct 2022
MARS: Meta-Learning as Score Matching in the Function Space Krunoslav Lehman Pavasovic Jonas Rothfuss Andreas Krause BDL 30 4 0 24 Oct 2022
Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction Sangwoo Park K. Cohen Osvaldo Simeone 18 13 0 06 Oct 2022
Meta-Learning Priors for Safe Bayesian Optimization Jonas Rothfuss Christopher Koenig Alisa Rupenyan Andreas Krause 33 29 0 03 Oct 2022
Meta-Learning Hypothesis Spaces for Sequential Decision-making Parnian Kassraie Jonas Rothfuss Andreas Krause OffRL 28 6 0 01 Feb 2022
Bayesian Active Meta-Learning for Black-Box Optimization I. Nikoloska Osvaldo Simeone 29 4 0 19 Oct 2021
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization K. Cohen Sangwoo Park Osvaldo Simeone S. Shamai 23 12 0 02 Aug 2021
Learning an Explicit Hyperparameter Prediction Function Conditioned on Tasks Jun Shu Deyu Meng Zongben Xu 26 6 0 06 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 24 1 0 05 Jul 2021
Transfer Bayesian Meta-learning via Weighted Free Energy Minimization Yunchuan Zhang Sharu Theresa Jose Osvaldo Simeone 8 0 0 20 Jun 2021
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 196 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 167 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 329 11,681 0 09 Mar 2017
Max-value Entropy Search for Efficient Bayesian Optimization Zi Wang Stefanie Jegelka 110 403 0 06 Mar 2017