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03/23/2023
Preference-Aware Constrained Multi-Objective Bayesian Optimization
This paper addresses the problem of constrained multi-objective optimiza...
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06/25/2022
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
The rising growth of deep neural networks (DNNs) and datasets in size mo...
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04/12/2022
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
We consider the problem of multi-objective (MO) blackbox optimization us...
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12/02/2021
Bayesian Optimization over Permutation Spaces
Optimizing expensive to evaluate black-box functions over an input space...
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10/13/2021
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
We consider the problem of black-box multi-objective optimization (MOO) ...
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06/08/2021
Bayesian Optimization over Hybrid Spaces
We consider the problem of optimizing hybrid structures (mixture of disc...
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04/14/2021
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs: An Information-Theoretic Approach
Mobile system-on-chips (SoCs) are growing in their complexity and hetero...
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12/14/2020
Mercer Features for Efficient Combinatorial Bayesian Optimization
Bayesian optimization (BO) is an efficient framework for solving black-b...
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12/14/2020
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
We consider the problem of optimizing expensive black-box functions over...
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11/02/2020
Multi-Fidelity Multi-Objective Bayesian Optimization: An Output Space Entropy Search Approach
We study the novel problem of blackbox optimization of multiple objectiv...
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09/12/2020
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Many real-world applications involve black-box optimization of multiple ...
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09/01/2020
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
We consider the problem of constrained multi-objective blackbox optimiza...
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08/18/2020
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
We study the problem of optimizing expensive blackbox functions over com...
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08/16/2020
