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02/02/2022
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces
Real-world optimization problems are generally not just black-box proble...
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07/05/2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning aims to learn a model that can handle multiple tasks gener...
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12/07/2020
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables
In the machine learning algorithms, the choice of the hyperparameter is ...
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12/06/2020
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits
Federated learning has emerged as an innovative paradigm of collaborativ...
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02/08/2019
Non-Stationary Streaming PCA
We consider the problem of streaming principal component analysis (PCA) ...
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01/01/2019