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08/04/2023
Model Provenance via Model DNA
Understanding the life cycle of the machine learning (ML) model is an in...
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08/01/2023
Hessian-Aware Bayesian Optimization for Decision Making Systems
Many approaches for optimizing decision making systems rely on gradient ...
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06/26/2023
Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing
Gaussian process regression (GPR) is a non-parametric model that has bee...
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10/24/2020
Collaborative Machine Learning with Incentive-Aware Model Rewards
Collaborative machine learning (ML) is an appealing paradigm to build hi...
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12/05/2019
Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression
This paper presents a variational Bayesian kernel selection (VBKS) algor...
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06/17/2019
Bayesian Optimization with Binary Auxiliary Information
This paper presents novel mixed-type Bayesian optimization (BO) algorith...
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11/21/2015
