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07/26/2022
On Missing Labels, Long-tails and Propensities in Extreme Multi-label Classification
The propensity model introduced by Jain et al. 2016 has become a standar...
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03/13/2022
Set-valued prediction in hierarchical classification with constrained representation complexity
Set-valued prediction is a well-known concept in multi-class classificat...
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10/20/2021
Propensity-scored Probabilistic Label Trees
Extreme multi-label classification (XMLC) refers to the task of tagging ...
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09/23/2020
Probabilistic Label Trees for Extreme Multi-label Classification
Extreme multi-label classification (XMLC) is a learning task of tagging ...
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07/08/2020
Online probabilistic label trees
We introduce online probabilistic label trees (OPLTs), an algorithm that...
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06/19/2019
Efficient Algorithms for Set-Valued Prediction in Multi-Class Classification
In cases of uncertainty, a multi-class classifier preferably returns a s...
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06/01/2019
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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10/27/2018
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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09/07/2018
Multi-Target Prediction: A Unifying View on Problems and Methods
Multi-target prediction (MTP) is concerned with the simultaneous predict...
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06/27/2012