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06/12/2023
Provably Efficient Bayesian Optimization with Unbiased Gaussian Process Hyperparameter Estimation
Gaussian process (GP) based Bayesian optimization (BO) is a powerful met...
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12/27/2022
Uncertainty-Aware Performance Prediction for Highly Configurable Software Systems via Bayesian Neural Networks
Configurable software systems are employed in many important application...
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12/16/2022
An Efficient Framework for Monitoring Subgroup Performance of Machine Learning Systems
Monitoring machine learning systems post deployment is critical to ensur...
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04/11/2021
ALT-MAS: A Data-Efficient Framework for Active Testing of Machine Learning Algorithms
Machine learning models are being used extensively in many important are...
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02/14/2021
Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces
High-dimensional black-box optimisation remains an important yet notorio...
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12/17/2020
High Dimensional Level Set Estimation with Bayesian Neural Network
Level Set Estimation (LSE) is an important problem with applications in ...
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09/05/2020
Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces
Bayesian optimisation is a popular method for efficient optimisation of ...
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01/19/2020
Distributionally Robust Bayesian Quadrature Optimization
Bayesian quadrature optimization (BQO) maximizes the expectation of an e...
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