855 citations · 2.1k across the 21 of their papers we have counts for
Showing 2016Show all
3 papers · 1 filter
cs.SI2016★ 19 cited
Learning Influence Functions from Incomplete Observations
Xinran He, Ke Xu, David Kempe +1
We study the problem of learning influence functions under incomplete observations of node activations. Incomplete observations are a major concern as most (online and real-world)…
cs.LG2016★ 27 cited
Learning from Multiway Data: Simple and Efficient Tensor Regression
Rose Yu, Yan Liu
Tensor regression has shown to be advantageous in learning tasks with multi-directional relatedness. Given massive multiway data, traditional methods are often too slow to operate…
cs.LG2016★ 231 cited
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che, Sanjay Purushotham, Kyunghyun Cho +2
Multivariate time series data in practical applications, such as health care, geoscience, and biology, are characterized by a variety of missing values. In time series prediction a…