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Research map / Optimization / Nonconvex and smooth optimization

On Acceleration with Noise-Corrupted Gradients

ICML 2018 · Optimization › Nonconvex and smooth optimization · approach: Stochastic gradient last-iterate analysis · 44 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use AGD+ instead of AXGDAccelerated optimization with noisy gradient oracles · Gradient oracle queriesoracle complexity: by a factor of twoHelped
Apply restart and slow-down when the weighted gradient signal is dominated by estimated noise (ablation)Accelerated methods including AGD+ · Unconstrained smooth minimization, high gradient noisemean approximation errorHelped
Apply restart and slow-down when the weighted gradient signal is dominated by estimated noise (ablation)Accelerated methods including AGD+ · Unconstrained smooth minimization, high gradient noisevariance of approximation errorHelped
Apply restart and slow-down (ablation)Accelerated methods · Noiseless smooth minimizationapproximation errorNo clear effect
Apply restart and slow-down (ablation)Accelerated methods · Unconstrained smooth minimization, low gradient noiseapproximation errorNo clear effect
Constrain optimization to a bounded feasible regionAccelerated methods with noisy gradients · Hard instance over the probability simplexnoise-induced error accumulationHelped
Apply restart and slow-down (ablation)Accelerated methods · Bounded-diameter constrained minimizationmean noise errorNo clear effect
Apply restart and slow-down (ablation)Accelerated methods · Bounded-diameter constrained minimization, high noise varianceerror varianceHelped
Use AGD instead of AXGD or AGD+Accelerated optimization · LASSO on Epileptic Seizure Recognition Dataset, noiseless and low noiseconvergence speedHelped
Use AGD instead of AXGD or AGD+Accelerated optimization · LASSO on Epileptic Seizure Recognition Dataset, high noiseerror varianceHurt
Use AGD instead of AXGD or AGD+Accelerated optimization · LASSO on Epileptic Seizure Recognition Dataset, very high noisemean approximation errorHurt
Use restart and slow-down (ablation)Accelerated methods · Logistic regression on Epileptic Seizure Recognition Dataset, high noisemean and variance of approximation errorHelped

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