146 citations · 254 across the 22 of their papers we have counts for
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cs.LG2018
Multi Instance Learning For Unbalanced Data
Mark Kozdoba, Edward Moroshko, Lior Shani +4
In the context of Multi Instance Learning, we analyze the Single Instance (SI) learning objective. We show that when the data is unbalanced and the family of classifiers is suffici…
cs.LG2018★ 5 cited
A Better Resource Allocation Algorithm with Semi-Bandit Feedback
Yuval Dagan, Koby Crammer
We study a sequential resource allocation problem between a fixed number of arms. On each iteration the algorithm distributes a resource among the arms in order to maximize the exp…
cs.LG2018★ 5 cited
Efficient Loss-Based Decoding on Graphs For Extreme Classification
Itay Evron, Edward Moroshko, Koby Crammer
In extreme classification problems, learning algorithms are required to map instances to labels from an extremely large label set. We build on a recent extreme classification frame…