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Found 4 papers, 2 papers with code
Simple Weak Coresets for Non-Decomposable Classification Measures
While coresets have been growing in terms of their application, barring few exceptions, they have mostly been limited to unsupervised settings.
Online Coresets for Clustering with Bregman Divergences
Our first algorithm gives online coresets of size $\tilde{O}(\mbox{poly}(k, d,\epsilon,\mu))$ for $k$-clusterings according to any $\mu$-similar Bregman divergence.
On Coresets For Regularized Regression
We propose a modified version of the lasso problem and obtain for it a coreset of size smaller than the least square regression.
Streaming Coresets for Symmetric Tensor Factorization
Factorizing tensors has recently become an important optimization module in a number of machine learning pipelines, especially in latent variable models.
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