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2018-NIPS-论文网址

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本文整理了2018 NeurIPS(原NIPS)收录文章的一些传送门,以及最佳论文。


2018 NeurIPS(原NIPS)大会全部论文见:


https://papers.nips.cc/book/advances-in-neural-information-processing-systems-31-2018


各大厂照例整理了自家的NeurIPS论文,下面是一系列传送门:


Google

https://ai.googleblog.com/2018/12/google-at-neurips-2018.html

*

https://research.fb.com/*-at-neurips-2018/

微软

https://www.microsoft.com/en-us/research/event/neurips-2018/

腾讯

https://mp.weixin.qq.com/s/w6x9GCkcX-ZSWCR43ZTIfw

最佳论文:

1、Neural Ordinary Differential Equations

作者:Ricky T. Q. Chen, Yulia Rubanova, Jesse Bettencourt, David Duvenaud。

论文地址:https://arxiv.org/abs/1806.07366

2、Nearly Tight Sample Complexity Bounds for Learning Mixtures of Gaussians via Sample Compression Schemes

作者:Hassan Ashtiani、Shai Ben-David、Nicholas Harvey、Christopher Liaw、Abbas Mehrabian、Yaniv Plan。

论文地址:https://papers.nips.cc/paper/7601-nearly-tight-sample-complexity-bounds-for-learning-mixtures-of-gaussians-via-sample-compression-schemes.pdf

3、Optimal Algorithms for Non-Smooth Distributed Optimization in Networks

作者:Kevin Scaman、Francis Bach、Sébastien Bubeck、Yin Tat Lee、Laurent Massoulié。

论文地址:https://arxiv.org/abs/1806.00291

4、Non-Delusional Q-Learning and Value-Iteration

作者:Tyler Lu、Dale Schuurmans、Craig Boutilier

论文地址:https://papers.nips.cc/paper/8200-non-delusional-q-learning-and-value-iteration


参考:https://mp.weixin.qq.com/s/E55D8BD3cnDw26P_gUfsuw


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