Discriminative clustering with representation learning with any ratio of labeled to unlabeled data

DOI10.1007/s11222-021-10067-xzbMath1481.62003OpenAlexW4210477953MaRDI QIDQ2114048

Vincent Roulet, Corinne Jones, Zaid Harchaoui

Publication date: 14 March 2022

Published in: Statistics and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11222-021-10067-x

zbMATH Keywords

unsupervised learningsemi-supervised learningrepresentation learningdiscriminative clustering

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Uses Software

• LIBSVM
• SciPy
• Python
• Megaman
• CIFAR
• PyTorch
• t-SNE
• DIFFRAC
• MBCbook
• MixMatch

Cites Work

• Computational Optimal Transport: With Applications to Data Science
• Lectures on convex optimization
• Combinatorial optimization. Polyhedra and efficiency (3 volumes)
• A survey on semi-supervised learning
• Concerning nonnegative matrices and doubly stochastic matrices
• Reducibility among Combinatorial Problems
• Semi-supervised k-means++
• Model-Based Clustering and Classification for Data Science
• Wide neural networks of any depth evolve as linear models under gradient descent ^*
• Fractionally-supervised classification
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