An efficient yield optimization method for analog circuits via gaussian process classification and varying-sigma sampling-Reference-Cited by-同舟云学术

An efficient yield optimization method for analog circuits via gaussian process classification and varying-sigma sampling

Published:2022-07-10 Issue: Volume: Page:
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Container-title:Proceedings of the 59th ACM/IEEE Design Automation Conference
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Author:

Wang Xiaodong¹,Yan Changhao¹,Yang Fan¹,Zhou Dian²,Zeng Xuan¹

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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