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2002.05551
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PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
International Conference on Machine Learning (ICML), 2020
13 February 2020
Jonas Rothfuss
Vincent Fortuin
Martin Josifoski
Andreas Krause
UQCV
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Papers citing
"PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees"
50 / 68 papers shown
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Multi-Fidelity Bayesian Optimization With Across-Task Transferable Max-Value Entropy Search
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Regret-Optimal Federated Transfer Learning for Kernel Regression with Applications in American Option Pricing
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Learning Expressive Priors for Generalization and Uncertainty Estimation in Neural Networks
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Jongseok Lee
Zorah Lähner
Rudolph Triebel
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274
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Learning via Wasserstein-Based High Probability Generalisation Bounds
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Improving Neural Additive Models with Bayesian Principles
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End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
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Antoine Grosnit
H. Ammar
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DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning
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378
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On the Generalization Error of Meta Learning for the Gibbs Algorithm
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365
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PAC-Bayes Bounds for Bandit Problems: A Survey and Experimental Comparison
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Jan Peters
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401
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Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
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Tomer Levinboim
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Lifelong Bandit Optimization: No Prior and No Regret
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407
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MARS: Meta-Learning as Score Matching in the Function Space
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Jonas Rothfuss
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484
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Hypernetwork approach to Bayesian MAML
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Marcin Przewiȩźlikowski
Tomasz Kuśmierczyk
Jacek Tabor
Przemysław Spurek
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215
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Meta-Learning Priors for Safe Bayesian Optimization
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Christopher Koenig
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413
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Songtao Lu
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287
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Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach
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Aviv Tamar
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386
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A General framework for PAC-Bayes Bounds for Meta-Learning
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281
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Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
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Momin Abbas
Quan-Wu Xiao
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Pin-Yu Chen
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Towards Learning Universal Hyperparameter Optimizers with Transformers
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Yutian Chen
Xingyou Song
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Nando de Freitas
423
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PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks
European Conference on Computer Vision (ECCV), 2022
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Tomer Levinboim
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Radu Soricut
295
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10 Mar 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits
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H. Flynn
David Reeb
M. Kandemir
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258
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Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably?
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Meta-Learning Hypothesis Spaces for Sequential Decision-making
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Transformers Can Do Bayesian Inference
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