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David Stephens

2 accepted papers

2020

Adaptive Importance Sampling for Finite-Sum Optimization and Sampling with Decreasing Step-Sizes

NeurIPS 2020poster

Reducing the variance of the gradient estimator is known to improve the convergence rate of stochastic gradient-based optimization and sampling algorithms. One way of achieving variance reduction is to design importance sampling strategies. Recently, the problem of designing such schemes was formula…

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