Research map / Optimization / Implicit bias and generalization
Characterizing the Loss Landscape in Non-Negative Matrix Factorization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-32 · CIFAR10, epoch 300 | convexity length scale: 0.55 ˘ 0.037 -> 0.82 ˘ 0.032 | Helped |
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-44 · CIFAR10, epoch 300 | convexity length scale: 0.57 ˘ 0.036 -> 0.78 ˘ 0.032 | Helped |
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-56 · CIFAR10, epoch 300 | convexity length scale: 0.57 ˘ 0.035 -> 0.79 ˘ 0.033 | Helped |
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-68 · CIFAR10, epoch 300 | convexity length scale: 0.58 ˘ 0.036 -> 0.81 ˘ 0.033 | Helped |
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-80 · CIFAR10, epoch 300 | convexity length scale: 0.63 ˘ 0.036 -> 0.79 ˘ 0.03 | Helped |
| Increase ResNet width from k=1 to k=4 (ablation) | ResNet-110 · CIFAR10, epoch 300 | convexity length scale: 0.63 ˘ 0.037 -> 0.82 ˘ 0.03 | Helped |
| Increase the sampled NMF matrix size by using more rows (ablation) | NMF · Birdsong, MovieLens, satellite, ORL faces | fraction of sampled curvatures that are positive | No clear effect |
| Increase the sampled NMF matrix size by using more rows (ablation) | NMF · Birdsong, MovieLens, satellite, ORL faces | relative deviation of curvature | Helped |
Closest papers by meaning
- Supervised Matrix Factorization: Local Landscape Analysis and Applications (ICML 2024 · similarity 0.87)
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- Provable Acceleration of Nesterov's Accelerated Gradient for Asymmetric Matrix Factorization and Linear Neural Networks (NeurIPS 2024 · similarity 0.87)
- Creating Coherence in Federated Non-Negative Matrix Factorization (AAAI 2025 · similarity 0.87)
- On the Crucial Role of Initialization for Matrix Factorization (ICLR 2025 · similarity 0.87)
- Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming (ICLR 2024 · similarity 0.86)
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