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Efficient performance modeling of today's analog and mixedsignal (AMS) circuits is an important yet challenging task. In this paper, we propose a novel performance modeling algorithm that is referred to as Co-Learning Bayesian Model Fusion (CL-BMF). The key idea of CL-BMF is to take advantage of the additional information collected from simulation and/or measurement to reduce the performance modeling cost. Different from the traditional performance modeling approaches which focus on the priordoi:10.1109/iccad.2015.7372621 dblp:conf/iccad/WangZLPV15 fatcat:zcsio2kodjgrliiortvrgszd3q