Alan Mackey
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View article: Seq2Slate: Re-ranking and Slate Optimization with RNNs
Seq2Slate: Re-ranking and Slate Optimization with RNNs Open
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 whole. This in turn requires taking into account interaction…
View article: Constrained Classification and Ranking via Quantiles
Constrained Classification and Ranking via Quantiles Open
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 $F_β$ score, area under the precision-recall curve, Precision at…
View article: Scalable Learning of Non-Decomposable Objectives
Scalable Learning of Non-Decomposable Objectives Open
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 query or context. Thus, such systems are typically evaluat…