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05/12/2023
Private and Communication-Efficient Algorithms for Entropy Estimation
Modern statistical estimation is often performed in a distributed settin...
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01/28/2022
Statistical anonymity: Quantifying reidentification risks without reidentifying users
Data anonymization is an approach to privacy-preserving data release aim...
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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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06/03/2019
Optimal Learning of Mallows Block Model
The Mallows model, introduced in the seminal paper of Mallows 1957, is o...
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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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05/29/2019
Learning to Crawl
Web crawling is the problem of keeping a cache of webpages fresh, i.e., ...
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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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07/30/2018
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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02/16/2018
Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent
Stochastic convex optimization algorithms are the most popular way to tr...
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06/27/2012