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作者:D Trehan2020 — This paper focuses upon. Non-Convex Optimization Algorithms such as SGD, EM. Algorithm, Alternating Minimization and its potential applications in the real ...
6 页·1 MB
2020年6月19日 — Non-Convex Optimization: A Review. Abstract: With the rapid development in technology, Artificial Intelligence is responsible for giving ...
Date Added to IEEE Xplore: 19 June 2020
DOI: 10.1109/ICICCS48265.2020.9120874

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作者:P Jain2017被引用次数:260 — The freedom to express the learning problem as a non-convex optimization problem gives immense modeling power to the algorithm designer, ...
Journal reference: Foundations and Trends in Machine Learning: Vol. 10: No. 3-4, pp ...
Paper reviews should be at least one page in length. • You can format it however you want, ... Can encode most problems as non-convex optimization problems.
54 页·2 MB
2020年11月5日 — Download Citation | On May 1, 2020, Dhruv Trehan published Non-Convex Optimization: A Review | Find, read and cite all the research you need ...
Unfortunately, nonconvex optimization problems appear ubiquitously in reality. For example, in machine learning, the objective function is naturally nonconvex ...
NeurIPS 2020. An efficient nonconvex reformulation of stagewise convex optimization problems. Review 1. Summary and Contributions: This paper focuses on a ...
作者:I Exarchos2020 — Review: Summary This paper aims to present a method that allows efficient learning in neural networks architecture that present optimization blocks. These ...
作者:X Chen2018被引用次数:147 — Review: Summary: This paper presents a convergence analysis in the non-convex setting for a family of optimization algorithms, which the authors call the ...
Example applications of nonconvex optimization. • Open directions ... Summary of convex background. • Convex optimization can be performed efficiently.
95 页·1 MB

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