The purpose of this article is to encourage research on the aspects of consumer behaviour, particularly as found in groups of consumers. For both researchers and practitioners, co...
Massimo Franco, Francesca Di Virgilio, Loredana Di...
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Empirical divergence maximization is an estimation method similar to empirical risk minimization whereby the Kullback-Leibler divergence is maximized over a class of functions tha...
The quantity of email people receive each day can be overwhelming. Previous research suggests that when handling email, individuals prioritize certain messages for attention over ...
Learning theory has largely focused on two main learning scenarios. The first is the classical statistical setting where instances are drawn i.i.d. from a fixed distribution and...
Alexander Rakhlin, Karthik Sridharan, Ambuj Tewari