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08/12/2021
A functional mirror ascent view of policy gradient methods with function approximation
We use functional mirror ascent to propose a general framework (referred...
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02/18/2021
SVRG Meets AdaGrad: Painless Variance Reduction
Variance reduction (VR) methods for finite-sum minimization typically re...
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06/11/2020
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
As adaptive gradient methods are typically used for training over-parame...
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02/24/2020
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
We propose a stochastic variant of the classical Polyak step-size (Polya...
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05/24/2019
