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Challenges and approaches to privacy preserving post-click conversion prediction
In this paper we outline the recent privacy-related changes in the online advertising ecosystem from a machine learning perspective.
Improvements in Computation and Usage of Joint CDFs for the N-Dimensional Order Statistic
Order statistics provide an intuition for combining multiple lists of scores over a common index set.
Using Weighted P-Values in Fisher's Method
Fisher's method prescribes a way to combine p-values from multiple experiments into a single p-value.
A Meta-Learning Perspective on Cold-Start Recommendations for Items
Matrix factorization (MF) is one of the most popular techniques for product recommendation, but is known to suffer from serious cold-start problems.
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