Abstract: Traditional Gaussian process surrogates fall short in coping with high-dimensional Bayesian optimization (HDBO) with irregular variables. We propose LoRA-VBLL, a novel framework that adapts ...
Abstract: This paper proposes a bitwise Bayesian Optimization method for the digital calibration of SAR ADCs. By leveraging Bayesian Optimization, the linearity of the SAR ADC is efficiently improved ...
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