43 citations · 78 across the 3 of their papers we have counts for
3 papers
cs.IR2018★ 43 cited
Seq2Slate: Re-ranking and Slate Optimization with RNNs
Irwan Bello, Sayali Kulkarni, Sagar Jain +6
Ranking is a central task in machine learning and information retrieval. In this task, it is especially important to present the user with a slate of items that is appealing as a w…
cs.LG2018
Constrained Classification and Ranking via Quantiles
Alan Mackey, Xiyang Luo, Elad Eban
In most machine learning applications, classification accuracy is not the primary metric of interest. Binary classifiers which face class imbalance are often evaluated by the …
stat.ML2016★ 35 cited
Scalable Learning of Non-Decomposable Objectives
Elad ET. Eban, Mariano Schain, Alan Mackey +3
Modern retrieval systems are often driven by an underlying machine learning model. The goal of such systems is to identify and possibly rank the few most relevant items for a given…