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05/21/2023
Confidence-aware Personalized Federated Learning via Variational Expectation Maximization
Federated Learning (FL) is a distributed learning scheme to train a shar...
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05/10/2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
In many applications, it is desirable that a classifier not only makes a...
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10/06/2020
Additive Tree-Structured Conditional Parameter Spaces in Bayesian Optimization: A Novel Covariance Function and a Fast Implementation
Bayesian optimization (BO) is a sample-efficient global optimization alg...
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06/21/2020