Nov 5, 2015 · Abstract:We present and analyze several strategies for improving the performance of stochastic variance-reduced gradient (SVRG) methods.
We present and analyze several strategies for improving the performance ofstochastic variance-reduced gradient (SVRG) methods.
We present and analyze several strategies for improving the performance of stochastic variance-reduced gradient (SVRG) methods. We first show that the.
Convergence of SVRG with noisy gradients. ▷ Reducing gradient evaluations using batches. ▷ Reducing gradient evaluations using support vectors.
[PDF] Stop Wasting My Gradient: A Practical SVRG - Reza Babanezhad
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Two gradients on each iteration. Occasional calculation of all n gradients. Extra calculations make them slower than SAG and friends. RBH ...
We present and analyze several strategies for improving the performance of stochastic variance-reduced gradient (SVRG) methods.
We present and analyze several strategies for improving the performance of stochastic variance-reduced gradient (SVRG) methods.
This work shows how to exploit support vectors to reduce the number of gradient computations in the later iterations of stochastic variance-reduced gradient ...
StopWasting My Gradients: Practical SVRG ... We present and analyze several strategies for improving the performance ofstochastic variance-reduced gradient (SVRG) ...
This implementation of SVRG combines practical changes introduced in 'Stop Wasting My Gradients: Practical SVRG' and 'Mini-Batch Semi-Stochastic Gradient ...