推荐几位ML／RL／CV／DL 非常有潜力的教授。

推荐几位ML／RL／CV／DL 非常有潜力的教授。1. David M. Blei (Columbia)
著名算法LDA发明人！在概率模型、bayesian learning上造诣极高。为人非常幽默风趣。Jordan 大弟子。

2.  Kilian Q. Weinberger  (Cornell)
Kilian Weinberger is an Associate Professor in the Department of Computer Science at Cornell University. He received his Ph.D. from the University of Pennsylvania in Machine Learning under the supervision of Lawrence Saul and his undergraduate degree in Mathematics and Computer Science from the University of Oxford. During his career he has won several best paper awards at ICML (2004), CVPR (2004, 2017), AISTATS (2005) and KDD (2014, runner-up award). In 2011 he was awarded the Outstanding AAAI Senior Program Chair Award and in 2012 he received an NSF CAREER award. He was elected co-Program Chair for ICML 2016 and for AAAI 2018. In 2016 he was the recipient of the Daniel M Lazar '29 Excellence in Teaching Award. Kilian Weinberger's research focuses on Machine Learning and its applications. In particular, he focuses on learning under resource constraints, metric learning, machine learned web-search ranking, computer vision and deep learning. Before joining Cornell University, he was an Associate Professor at Washington University in St. Louis and before that he worked as a research scientist at Yahoo! Research in Santa Clara.

3.  Alexander Schwing (UIUC)
Alex's research is centered around machine learning and computer vision. He is particularly interested in algorithms for prediction with and learning of non-linear, multivariate and structured distributions, and their application in numerous tasks.
Coding 能力极强的一位新晋AP，横跨理论应用多个领域。一年6、7篇NIPS就已经让人觉得有点不可思议。

4. Jimmy Ba (University of Toronto)
Adam算法发明人， 以及attention的开山作者之一。在RL／DL／optimization上有非常强大的潜力！
My long-term research goal is to address a computational question: How can we build general problem-solving machines with human-like efficiency and adaptability? In particular, my research interests focus on the development of efficient learning algorithms for deep neural networks. I am also broadly interested in reinforcement learning, natural language processing and artificial intelligence.
For perspective students: I am starting my Assistant Professor position at the Department of Computer Science in mid 2018. Please apply through the department admission.  
Short bio: I'm completing my PhD under the supervision of Geoffrey Hinton. Both my master (2014) and undergrad degrees (2011) are from the University of Toronto under Brendan Frey and Ruslan Salakhutdinov. I was a recipient of Facebook Graduate Fellowship 2016 in machine learning.

5. Sergey Levine (UCBerkeley)
I am an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at UC Berkeley. In my research, I focus on the intersection between control and machine learning, with the aim of developing algorithms and techniques that can endow machines with the ability to autonomously acquire the skills for executing complex tasks. In particular, I am interested in how learning can be used to acquire complex behavioral skills, in order to endow machines with greater autonomy and intelligence. To see a more formal biography, click here.  

这些学校我都是申不上。。。。。

那个David Blei 不叫有潜力的教授，那是已经功成名就的教授，LDA 这种算法都可以写进教科书了