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On Provably Robust Meta-Bayesian Optimization

On Provably Robust Meta-Bayesian Optimization

14 June 2022
Zhongxiang Dai
Yizhou Chen
Haibin Yu
K. H. Low
P. Jaillet
    AAML
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Papers citing "On Provably Robust Meta-Bayesian Optimization"

3 / 3 papers shown
Title
Training-Free Neural Active Learning with Initialization-Robustness
  Guarantees
Training-Free Neural Active Learning with Initialization-Robustness Guarantees
Apivich Hemachandra
Zhongxiang Dai
Jasraj Singh
See-Kiong Ng
K. H. Low
AAML
36
6
0
07 Jun 2023
Federated Bayesian Optimization via Thompson Sampling
Federated Bayesian Optimization via Thompson Sampling
Zhongxiang Dai
K. H. Low
Patrick Jaillet
FedML
89
109
0
20 Oct 2020
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
344
11,684
0
09 Mar 2017
1