Sets Clustering

Tight sensitivity bounds for smaller coresets

Provable filter pruning for efficient neural networks

k-Means clustering of lines for big data

Fast and accurate least-mean-squares solvers

Data-independent neural pruning via coresets

Data-dependent coresets for compressing neural networks with applications to generalization bounds

Bi-criteria linear-time approximations for generalized k-mean/median/center

Coresets for vector summarization with applications to network graphs

Dimensionality reduction of massive sparse datasets using coresets

k-Means for Streaming and Distributed Big Sparse Data

idiary: From gps signals to a text-searchable diary

More constraints, smaller coresets: Constrained matrix approximation of sparse big data

Fleye on the car: big data meets the internet of things

Coresets for visual summarization with applications to loop closure

Visual precis generation using coresets

Coresets for k-segmentation of streaming data

K-robots clustering of moving sensors using coresets

Communication coverage for independently moving robots

An effective coreset compression algorithm for large scale sensor networks

Data reduction for weighted and outlier-resistant clustering

From high definition image to low space optimization

Scalable training of mixture models via coresets

Coresets and sketches for high dimensional subspace approximation problems

Private coresets

A PTAS for k-means clustering based on weak coresets