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Probabilistic Label Trees for Extreme Multi-label Classification
Extreme multi-label classification (XMLC) is a learning task of tagging ...
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Optimal Learning of Mallows Block Model
The Mallows model, introduced in the seminal paper of Mallows 1957, is o...
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On the computational complexity of the probabilistic label tree algorithms
Label tree-based algorithms are widely used to tackle multi-class and mu...
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Learning to Crawl
Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...
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A no-regret generalization of hierarchical softmax to extreme multi-label classification
Extreme multi-label classification (XMLC) is a problem of tagging an ins...
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Preference-based Online Learning with Dueling Bandits: A Survey
In machine learning, the notion of multi-armed bandits refers to a class...
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Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent
Stochastic convex optimization algorithms are the most popular way to tr...
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Fast classification using sparse decision DAGs
In this paper we propose an algorithm that builds sparse decision DAGs (...
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