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Generalized Polyak Step Size for First Order Optimization with Momentum
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| adaptive Polyak-style step size for SGD with momentum (ALR-SMAG) instead of constant step size | SGDM on CIFAR100 WRN-28-10 · CIFAR100 test accuracy | test accuracy (%): 75.36 to 76.51 | Helped |
| adaptive step size ALR-SMAG vs step-decay on DenseNet121 | SGDM on CIFAR100 DenseNet121 · CIFAR100 test accuracy | test accuracy (%): 75.12 to 75.25 | Helped |
| adaptive step size ALR-SMAG vs step-decay on WRN-28-10 without warmup | SGDM on CIFAR100 WRN-28-10 · CIFAR100 test accuracy | test accuracy (%): 76.51 vs 76.49 | No clear effect |
| warmup on the upper bound of the step size (ablation) | ALR-SMAG and ALR-SHB · CIFAR100 WRN-28-10 and DenseNet121 | test accuracy (%): ALR-SMAG 76.51 to 77.63 on WRN; ALR-SHB 76.36 to 77.57 | Helped |
| L4Mom step size instead of the proposed adaptive step size | SGD with momentum on CIFAR100 WRN-28-10 · CIFAR100 test accuracy | test accuracy (%): 66.84 vs 76.51 for ALR-SMAG | Hurt |
| decoupled weight decay added to ALR-SMAG search direction (ablation) | ALR-SMAG on CIFAR100 WRN-28-10 · CIFAR100 with weight decay test accuracy | test accuracy (%): best 81.18 with WD, below SGDM-STEP 81.22 and SGDM-COSINE 81.85 at best | Helped |
| final fine-tuning phase that increases c exponentially in last 20% of iterations (ablation) | ALR-SMAG with weight decay · CIFAR100 WRN-28-10 with WD | test accuracy (%): 81.18 to 81.89 | Helped |
| 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 synthetic | final loss sensitivity to beta | Helped |
| 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 WD | test accuracy (%): 81.18 vs 81.22 (SGDM-STEP) and 81.85 (SGDM-COSINE) | No clear effect |
Closest papers by meaning
- Stochastic Polyak Step-sizes and Momentum: Convergence Guarantees and Practical Performance (ICLR 2025 · similarity 0.91)
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- Perfect Parallelization in Mini-Batch SGD with Classical Momentum Acceleration (NeurIPS 2026 · similarity 0.87)
- Parameter-free Clipped Gradient Descent Meets Polyak (NeurIPS 2024 · similarity 0.86)
- New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results (NeurIPS 2025 · similarity 0.86)
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