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03/03/2023
Bayesian Optimization over High-Dimensional Combinatorial Spaces via Dictionary-based Embeddings
We consider the problem of optimizing expensive black-box functions over...
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10/18/2022
Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization
Optimizing expensive-to-evaluate black-box functions of discrete (and po...
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02/15/2022
Robust Multi-Objective Bayesian Optimization Under Input Noise
Bayesian optimization (BO) is a sample-efficient approach for tuning des...
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11/12/2021
Multi-Step Budgeted Bayesian Optimization with Unknown Evaluation Costs
Bayesian optimization (BO) is a sample-efficient approach to optimizing ...
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10/30/2021
Sustainable AI: Environmental Implications, Challenges and Opportunities
This paper explores the environmental impact of the super-linear growth ...
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09/22/2021
Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces
The ability to optimize multiple competing objective functions with high...
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06/24/2021
Bayesian Optimization with High-Dimensional Outputs
Bayesian Optimization is a sample-efficient black-box optimization proce...
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06/22/2021
Latency-Aware Neural Architecture Search with Multi-Objective Bayesian Optimization
When tuning the architecture and hyperparameters of large machine learni...
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05/17/2021
Parallel Bayesian Optimization of Multiple Noisy Objectives with Expected Hypervolume Improvement
Optimizing multiple competing black-box objectives is a challenging prob...
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06/29/2020
Efficient Nonmyopic Bayesian Optimization via One-Shot Multi-Step Trees
Bayesian optimization is a sequential decision making framework for opti...
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06/09/2020
Differentiable Expected Hypervolume Improvement for Parallel Multi-Objective Bayesian Optimization
In many real-world scenarios, decision makers seek to efficiently optimi...
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10/14/2019
