综合技术

Léon Bottou and Olivier Bousquet win Test of Time award

微信扫一扫,分享到朋友圈

Léon Bottou and Olivier Bousquet win Test of Time award
0

We are pleased to congratulateFAIR’s Léon Bottou and Google AI’s Olivier Bousquet on receiving the NeurIPS 2018 Test of Time award. Their winning paper is “ The Tradeoffs of Large Scale Learning
,” which they presented at NIPS 2007, while Bottou was a researcher at NEC Labs. For more about the event, visit the NeurIPS Facebook page
.

Bottou joined FAIR in 2015 and is best known for his work on deep neural networks in the 1990s, large-scale learning in the 2000s, and his more recent work on causal inference in learning systems. He is also known for the DjVu document compression technology.

Facebook’s Research blog recently caught up with Bottou to learn more about the award-winning paper, which he says “explains why a deceptively simple optimization algorithm, Stochastic Gradient Descent (SGD), proposed by Robbins in 1951, gives superior performance for large-scale machine learning problems, decisively beating apparently more sophisticated optimization algorithms.”

You can read the full interview atresearch.fb.com.

阅读原文...


微信扫一扫,分享到朋友圈

Léon Bottou and Olivier Bousquet win Test of Time award
0

Facebook Code

SG20 Education and Recommended Videos for Teaching C++

上一篇

Setup PowerShell Azure Authentication for Pulumi

下一篇

评论已经被关闭。

插入图片

热门分类

往期推荐

Léon Bottou and Olivier Bousquet win Test of Time award

长按储存图像,分享给朋友