开课单位--脸书公司
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11
Shrinkage Estimators in Online Experiments[在线实验中的收缩率估计]
   Drew Dimmery(脸书公司) We develop and analyze empirical Bayes Stein-type estimators for use in the estimation of causal effects in large-scale online experiments. While onli...
热度:61

12
Counterfactual Reasoning and Learning Systems[反事实的推理学习系统]
  Léon Bottou(脸书公司) Using the search engine ad placement problem as an example, we explain the central role of causal inference for the design of learning systems interac...
热度:115

13
Large-scale Machine Learning and Stochastic Algorithms[机器学习和随机算法]
  Léon Bottou(脸书公司) The presentation stresses important differences between machine learning and conventional optimisation approaches and proposes some solutions. The fir...
热度:40

14
Learning when test and Trainig Imputs have different distributions[学习时的测试和训练要素有不同的分布]
  Joaquin Quiñonero Candela(脸书公司) 学习时的测试和训练要素有不同的分布  
热度:22

15
Object Detection with Grammar Models[基于语法模型的目标检测]
  Ross B. Girshick(脸书公司) Compositional models provide an elegant formalism for representing the visual appearance of highly variable objects. While such models are appealing f...
热度:30

16
ePluribus: Ethnicity on Social Networks[ePluribus:社交网络上的种族]
  Jonathan Chang(脸书公司) We propose an approach to determine the ethnic breakdown of a population based solely on people's names and data provided by the U.S. Census Bureau. W...
热度:81

17
Half transductive ranking[半直推式排序]
  Jason Weston(脸书公司) We study the standard retrieval task of ranking a fixed set of items given a previously unseen query and pose it as the half transductive ranking prob...
热度:30

18
Learning from Logged Implicit Exploration Data[从记录的隐式勘探数据中学习]
  Alexander Strehl(脸书公司) We provide a sound and consistent foundation for the use of nonrandom exploration data in "contextual bandit" or "partially labeled&quo...
热度:81

19
Trends in Facebook Messages脸书上信息传递趋势
  Joel Seligstein(脸书公司) Over the last few years, digital messaging has seen dramatic shifts in the mediums used to communicate, message length and priority, and expectations ...
热度:71

20
Deep Learning via Semi-Supervised Embedding[半监督嵌入的深度学习]
  Jason Weston(脸书公司) We show how nonlinear embedding algorithms popular for use with shallow semi-supervised learning techniques such as kernel methods can be applied to d...
热度:68
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