82 citations · 359 across the 49 of their papers we have counts for
Showing 2014Show all
2 papers · 1 filter
stat.ML2014★ 59 cited
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Haim Avron, Vikas Sindhwani, Jiyan Yang +1
We consider the problem of improving the efficiency of randomized Fourier feature maps to accelerate training and testing speed of kernel methods on large datasets. These approxima…
stat.ML2014
High-performance Kernel Machines with Implicit Distributed Optimization and Randomization
Vikas Sindhwani, Haim Avron
In order to fully utilize "big data", it is often required to use "big models". Such models tend to grow with the complexity and size of the training data, and do not make strong p…