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Tag: bo

  • Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback

    Quantile-Scaled Bayesian Optimization Using Rank-Only Feedback arXiv:2510.03277v1 Announce Type: new Abstract: Bayesian Optimization (BO) is widely used for optimizing expensive black-box functions, particularly in hyperparameter tuning. However, standard BO assumes access to precise objective values, which may be unavailable, noisy, or unreliable in real-world settings where only relative or rank-based feedback can be obtained. In…

  • Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices

    Adaptive Bayesian Data-Driven Design of Reliable Solder Joints for Micro-electronic Devices arXiv:2507.19663v1 Announce Type: new Abstract: Solder joint reliability related to failures due to thermomechanical loading is a critically important yet physically complex engineering problem. As a result, simulated behavior is oftentimes computationally expensive. In an increasingly data-driven world, the usage of efficient data-driven design…

  • Batch Bayesian Optimization for High-Dimensional Experimental Design: Simulation and Visualization

    Batch Bayesian Optimization for High-Dimensional Experimental Design: Simulation and Visualization arXiv:2504.03943v1 Announce Type: new Abstract: Bayesian Optimization (BO) is increasingly used to guide experimental optimization tasks. To elucidate BO behavior in noisy and high-dimensional settings typical for materials science applications, we perform batch BO of two six-dimensional test functions: an Ackley function representing a needle-in-a-haystack…

  • Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model

    Bayesian Optimization for Robust Identification of Ornstein-Uhlenbeck Model arXiv:2503.06381v1 Announce Type: new Abstract: This paper deals with the identification of the stochastic Ornstein-Uhlenbeck (OU) process error model, which is characterized by an inverse time constant, and the unknown variances of the process and observation noises. Although the availability of the explicit expression of the log-likelihood…