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Found 4 papers, 2 papers with code
Efficient NTK using Dimensionality Reduction
Recently, neural tangent kernel (NTK) has been used to explain the dynamics of learning parameters of neural networks, at the large width limit.
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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