Research map / Learning theory and algorithms / Kernels and regression theory
Nonoverlap-Promoting Variable Selection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add LDD-L1 regularizer instead of L1 or elastic net | multiclass logistic regression · simulation support recovery | sensitivity: 0.76 -> 0.82 | Helped |
| Add LDD-L1 regularizer instead of L1 | multiclass logistic regression · simulation | prediction error rate: 0.31 -> 0.24 | Helped |
| Add LDD-L1 regularization to sparse coding | sparse coding + KNN · 20-News | test accuracy: 0.592 -> 0.612 | Helped |
| Add LDD-L1 regularization to sparse coding | sparse coding + KNN · 20-News | train/test gap: 0.119 -> 0.099 | Helped |
| Add LDD-L1 regularization to sparse coding | sparse coding + KNN · RCV1 | test accuracy: 0.872 -> 0.909 | Helped |
| Use LDD-L1 instead of LDD only (ablation) | sparse coding · 20-News | test accuracy: 0.605 -> 0.612 | Helped |
| Use LDD-L1 instead of L1 only (ablation) | sparse coding · 20-News | test accuracy: 0.606 -> 0.612 | Helped |
| Add LDD-L1 to PytorchLM LSTM | LSTM language model · PTB test | perplexity: 72.3 -> 71.1 | Helped |
| Use LDD-L1 instead of AC orthogonality regularizer | PytorchLM · PTB test | perplexity: 71.5 -> 71.1 | Helped |
| Add LDD-L1 to WideResNet-28-10 | WideResNet · CIFAR-10 test | error (%): 3.89 -> 3.60 | Helped |
| Use LDD-L1 instead of L1 regularizer | WideResNet · CIFAR-10 test | error (%): 3.81 -> 3.60 | Helped |
| Increase LDD-L1 regularization parameter | sparse coding · 20-News | overlap score | Helped |
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