2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Accurate Coresets for Latent Variable Models and Regularized Regression
Sanskar Ranjan, Supratim Shit
Accurate coresets are a weighted subset of the original dataset, ensuring a model trained on the accurate coreset maintains the same level of accuracy as a model trained on the ful…
Efficient NTK using Dimensionality Reduction
Nir Ailon, Supratim Shit
Recently, neural tangent kernel (NTK) has been used to explain the dynamics of learning parameters of neural networks, at the large width limit. Quantitative analyses of NTK give r…
Streaming Coresets for Symmetric Tensor Factorization
Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta +1
Factorizing tensors has recently become an important optimization module in a number of machine learning pipelines, especially in latent variable models. We show how to do this eff…
On Coresets For Regularized Regression
Rachit Chhaya, Anirban Dasgupta, Supratim Shit
We study the effect of norm based regularization on the size of coresets for regression problems. Specifically, given a matrix with $n\g…