【論文快讀】The Multiplicative Weights Update Method: A Meta-Algorithm and Application
這算是早期閱讀的paper，既然開了blog，就一併貼上來，感覺report寫的還是有點又臭又長，不過總歸是在一步一個腳印往前走啦。 鏈接：https://www.cs.princeton.edu/~arora/pubs/MWsurvey.pdf 作者：Sanjeev Arora，Elad Hazan，Satyen Kale 摘要： 有一種叫作Multiplicative Weights的算法思想
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相關文章
- 1. 【論文快讀】DeepFool: a simple and accurate method to fool deep neural networks(2016)
- 2. 4 Finding the Variance and Weights
- 3. 論文閱讀SGD A Stochastic Approximation Method
- 4. 論文《Learning both Weights and Connections for Efficient Neural Network》閱讀筆記
- 5. 論文品讀：Learning both Weights and Connections for Efficient Neural Networks
- 6. 《The Art, Science, and Engineering of Fuzzing: A Survey》論文閱讀
- 7. 【論文速讀】Sharing Attention Weights for Fast Transformer
- 8. 【論文閱讀】韓鬆《Efficient Methods And Hardware For Deep Learning》節選《Learning both Weights and Connections 》
- 9. 【論文快讀】Explaining and Harnessing Adversarial Examples（2015）
- 10. Create a restful application with AngularJS and Zend 2 framework