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06/23/2023
Achieving Diversity in Objective Space for Sample-efficient Search of Multiobjective Optimization Problems
Efficiently solving multi-objective optimization problems for simulation...
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04/20/2021
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
This paper presents the results and insights from the black-box optimiza...
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02/24/2020
Efficient Rollout Strategies for Bayesian Optimization
Bayesian optimization (BO) is a class of sample-efficient global optimiz...
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06/10/2019
Sampling Humans for Optimizing Preferences in Coloring Artwork
Many circumstances of practical importance have performance or success m...
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05/23/2019
Bayesian Optimization over Sets
We propose a Bayesian optimization method over sets, to minimize a black...
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12/19/2018
Orchestrate: Infrastructure for Enabling Parallelism during Hyperparameter Optimization
Two key factors dominate the development of effective production grade m...
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12/01/2018
A Nonstationary Designer Space-Time Kernel
In spatial statistics, kriging models are often designed using a station...
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01/09/2018
Sequential Preference-Based Optimization
Many real-world engineering problems rely on human preferences to guide ...
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12/12/2017
Practical Bayesian optimization in the presence of outliers
Inference in the presence of outliers is an important field of research ...
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08/24/2017
Active Preference Learning for Personalized Portfolio Construction
In financial asset management, choosing a portfolio requires balancing r...
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07/18/2017
Robust Bayesian Optimization with Student-t Likelihood
Bayesian optimization has recently attracted the attention of the automa...
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03/31/2016
