An efficient yield optimization method for analog circuits via gaussian process classification and varying-sigma sampling
Author:
Affiliation:
1. Fudan University, China
2. University of Texas at Dallas
Funder
National Natural Science Foundation of China (NSFC) research projects
National Key R\&D Program of China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3489517.3530514
Reference23 articles.
1. Variation-Aware Macromodeling and Synthesis of Analog Circuits Using Spline Center and Range Method and Dynamically Reduced Design Space
2. Olivier Chapelle and Lihong Li . 2011 . An empirical evaluation of thompson sampling . In Proc. NIPS. 2249--2257 . Olivier Chapelle and Lihong Li. 2011. An empirical evaluation of thompson sampling. In Proc. NIPS. 2249--2257.
3. Preference learning with Gaussian processes
4. Javier González Zhenwen Dai Andreas Damianou and Neil D Lawrence. 2017. Preferential bayesian optimization. In icml. PMLR 1282--1291. Javier González Zhenwen Dai Andreas Damianou and Neil D Lawrence. 2017. Preferential bayesian optimization. In icml. PMLR 1282--1291.
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