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Generalized Polyak Step Size for First Order Optimization with Momentum

ICML 2023 · Optimization › Optimizers · approach: SGD momentum and step-size schedules · 3 citations (OpenAlex)

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Measured effects reported in the paper

What was changedWhereMeasuredEffect
adaptive Polyak-style step size for SGD with momentum (ALR-SMAG) instead of constant step sizeSGDM on CIFAR100 WRN-28-10 · CIFAR100 test accuracytest accuracy (%): 75.36 to 76.51Helped
adaptive step size ALR-SMAG vs step-decay on DenseNet121SGDM on CIFAR100 DenseNet121 · CIFAR100 test accuracytest accuracy (%): 75.12 to 75.25Helped
adaptive step size ALR-SMAG vs step-decay on WRN-28-10 without warmupSGDM on CIFAR100 WRN-28-10 · CIFAR100 test accuracytest accuracy (%): 76.51 vs 76.49No clear effect
warmup on the upper bound of the step size (ablation)ALR-SMAG and ALR-SHB · CIFAR100 WRN-28-10 and DenseNet121test accuracy (%): ALR-SMAG 76.51 to 77.63 on WRN; ALR-SHB 76.36 to 77.57Helped
L4Mom step size instead of the proposed adaptive step sizeSGD with momentum on CIFAR100 WRN-28-10 · CIFAR100 test accuracytest accuracy (%): 66.84 vs 76.51 for ALR-SMAGHurt
decoupled weight decay added to ALR-SMAG search direction (ablation)ALR-SMAG on CIFAR100 WRN-28-10 · CIFAR100 with weight decay test accuracytest accuracy (%): best 81.18 with WD, below SGDM-STEP 81.22 and SGDM-COSINE 81.85 at bestHelped
final fine-tuning phase that increases c exponentially in last 20% of iterations (ablation)ALR-SMAG with weight decay · CIFAR100 WRN-28-10 with WDtest accuracy (%): 81.18 to 81.89Helped
ALR-HB (v2) step size with 1/(2L) constant term vs heavy ball with tuned parameters on least squares (kappa=1e4)heavy-ball on least squares · least-squares syntheticfinal loss sensitivity to betaHelped
adaptive step size ALR-SMAG vs SGDM with step-decay on CIFAR100 WRN-28-10 with weight decay (ALI-G with momentum comparison)ALR-SMAG with weight decay · CIFAR100 WRN-28-10 with WDtest accuracy (%): 81.18 vs 81.22 (SGDM-STEP) and 81.85 (SGDM-COSINE)No clear effect

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