Research map / Optimization / Nonconvex and smooth optimization
A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| SUSTAIN vs stocBiO and HOAG | bilevel optimizer · Fashion-MNIST data hyper-cleaning (p=0.3) | training loss/test accuracy vs gradients | Helped |
| SUSTAIN vs stocBiO and HOAG at higher corruption | bilevel optimizer · Fashion-MNIST data hyper-cleaning (p=0.4) | training loss/test accuracy vs gradients | Helped |
| SUSTAIN vs ANIL and ITD-BiO | bilevel optimizer · miniImageNet 5-way 5-shot | train/test accuracy vs iterations | Helped |
| Adam outer optimizer vs vanilla SGD for outer update | meta-learning bilevel algorithms · miniImageNet 5-way 5-shot | accuracy | Helped |
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- On The Complexity of First-Order Methods in Stochastic Bilevel Optimization (ICML 2024 · similarity 0.91)
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