Co-occurring keywords
Papers
Sketching Meets Random Projection in the Dual: A Provable Recovery Algorithm for Big and High-dimensional Data
AISTATS 2017
Sparse Embedded $k$-Means Clustering
NIPS 2017
Simple strategies for recovering inner products from coarsely quantized random projections
NIPS 2017
Compressed Least Squares Regression revisited
AISTATS 2017
Random projection design for scalable implicit smoothing of randomly observed stochastic processes
AISTATS 2017
The Multiscale Laplacian Graph Kernel
NIPS 2016