PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees

13 February 2020

Papers citing "PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees"

33 / 33 papers shown

Title
Sparse Gaussian Neural Processes Tommy Rochussen Vincent Fortuin BDL UQCV 61 0 0 02 Apr 2025
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models Raeid Saqur Anastasis Kratsios Florian Krach Yannick Limmer Jacob-Junqi Tian John Willes Blanka Horvath Frank Rudzicz MoE 50 0 0 24 Feb 2025
PeFLL: Personalized Federated Learning by Learning to Learn Jonathan Scott Hossein Zakerinia Christoph H. Lampert FedML 94 7 0 17 Jan 2025
Bayesian meta learning for trustworthy uncertainty quantification Zhenyuan Yuan Thinh T. Doan UQCV 43 0 0 27 Jul 2024
Meta Learning in Bandits within Shared Affine Subspaces Steven Bilaj Sofien Dhouib S. Maghsudi 39 2 0 31 Mar 2024
Vanilla Bayesian Optimization Performs Great in High Dimensions Carl Hvarfner E. Hellsten Luigi Nardi 32 17 0 03 Feb 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
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
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes Charles Riou Pierre Alquier Badr-Eddine Chérief-Abdellatif 43 8 0 23 Feb 2023
Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization Zifa Wang Nan Ding Tomer Levinboim Xi Chen Radu Soricut AAML 35 5 0 22 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 43 7 0 14 Nov 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
Meta Reinforcement Learning with Finite Training Tasks -- a Density Estimation Approach Zohar Rimon Aviv Tamar Gilad Adler OOD OffRL 34 8 0 21 Jun 2022
A General framework for PAC-Bayes Bounds for Meta-Learning A. Rezazadeh AI4CE 21 4 0 11 Jun 2022
Towards Learning Universal Hyperparameter Optimizers with Transformers Yutian Chen Xingyou Song Chansoo Lee Z. Wang Qiuyi Zhang ... Greg Kochanski Arnaud Doucet MarcÁurelio Ranzato Sagi Perel Nando de Freitas 29 63 0 26 May 2022
PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks Nan Ding Xi Chen Tomer Levinboim Soravit Changpinyo Radu Soricut 22 26 0 10 Mar 2022
PAC-Bayesian Lifelong Learning For Multi-Armed Bandits H. Flynn David Reeb M. Kandemir Jan Peters 31 7 0 07 Mar 2022
Transformers Can Do Bayesian Inference Samuel G. Müller Noah Hollmann Sebastian Pineda Arango Josif Grabocka Frank Hutter BDL UQCV 22 140 0 20 Dec 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski P. Spurek Maciej Ziȩba 11 19 0 26 Oct 2021
User-friendly introduction to PAC-Bayes bounds Pierre Alquier FedML 60 196 0 21 Oct 2021
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
Meta-Learning Reliable Priors in the Function Space Jonas Rothfuss Dominique Heyn Jinfan Chen Andreas Krause 37 27 0 06 Jun 2021
Priors in Bayesian Deep Learning: A Review Vincent Fortuin UQCV BDL 31 124 0 14 May 2021
Generalization Bounds for Meta-Learning via PAC-Bayes and Uniform Stability Alec Farid Anirudha Majumdar 27 34 0 12 Feb 2021
Transfer Meta-Learning: Information-Theoretic Bounds and Information Meta-Risk Minimization Sharu Theresa Jose Osvaldo Simeone G. Durisi 24 17 0 04 Nov 2020
Few-shot Learning for Spatial Regression Tomoharu Iwata Yusuke Tanaka 30 11 0 09 Oct 2020
Task-similarity Aware Meta-learning through Nonparametric Kernel Regression Arun Venkitaraman Anders Hansson B. Wahlberg 25 8 0 12 Jun 2020
End-to-End Fast Training of Communication Links Without a Channel Model via Online Meta-Learning Sangwoo Park Osvaldo Simeone Joonhyuk Kang 39 42 0 03 Mar 2020
Bayesian Model-Agnostic Meta-Learning Taesup Kim Jaesik Yoon Ousmane Amadou Dia Sungwoong Kim Yoshua Bengio Sungjin Ahn UQCV BDL 202 498 0 11 Jun 2018
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 173 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 338 11,684 0 09 Mar 2017
Pac-Bayesian Supervised Classification: The Thermodynamics of Statistical Learning O. Catoni 148 454 0 03 Dec 2007