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Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian
  Meta-learning

Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning

1 June 2021
Sharu Theresa Jose
Sangwook Park
Osvaldo Simeone
    PER
    UD
    UQCV
ArXivPDFHTML

Papers citing "Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning"

10 / 10 papers shown
Title
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior:
  From Theory to Practice
Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice
Jonas Rothfuss
Martin Josifoski
Vincent Fortuin
Andreas Krause
40
7
0
14 Nov 2022
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned
  Linear Filters based on Long-Short Term Channel Decomposition
Predicting Multi-Antenna Frequency-Selective Channels via Meta-Learned Linear Filters based on Long-Short Term Channel Decomposition
Sangwoo Park
Osvaldo Simeone
26
4
0
23 Mar 2022
Robust PAC$^m$: Training Ensemble Models Under Misspecification and
  Outliers
Robust PACm^mm: Training Ensemble Models Under Misspecification and Outliers
Matteo Zecchin
Sangwoo Park
Osvaldo Simeone
Marios Kountouris
David Gesbert
14
5
0
03 Mar 2022
Bayesian Active Meta-Learning for Black-Box Optimization
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
Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization
K. Cohen
Sangwoo Park
Osvaldo Simeone
S. Shamai
23
12
0
02 Aug 2021
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent
  Estimates
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
Jeffrey Negrea
Mahdi Haghifam
Gintare Karolina Dziugaite
Ashish Khisti
Daniel M. Roy
FedML
113
147
0
06 Nov 2019
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
177
639
0
19 Sep 2019
Bayesian Model-Agnostic Meta-Learning
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
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
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
338
11,684
0
09 Mar 2017
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