Aruba
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Adaptive Gradient-Based Meta-Learning Methods
Mikhail Khodak, Maria-Florina F. Balcan, Ameet S. Talwalkar
Neural Information Processing Systems http://nips.cc/
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Meta-Learning Adversarial Bandit Algorithms
Such feedback can be stochastic, e.g. the
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FederatedHyperparameterTuning: Challenges, Baselines,andConnectionstoWeight-Sharing
Federated learning (FL)isapopular distributedcomputational setting where training isperformed locally or privately [30, 36] and where hyperparameter tuning has been identified as a critical problem[18].
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