240 citations · 503 across the 31 of their papers we have counts for
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stat.ML2020
Convex Nonparanormal Regression
Yonatan Woodbridge, Gal Elidan, Ami Wiesel
Quantifying uncertainty in predictions or, more generally, estimating the posterior conditional distribution, is a core challenge in machine learning and statistics. We introduce C…
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…