Research map / Learning theory and algorithms / Kernels and regression theory
Supervised Learning with General Risk Functionals
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Train logistic regression with CVaR at 0.05 instead of expected loss | Logistic regression · Toy binary classification | concentration of losses | Helped |
| Optimize expected loss rather than CVaR at 0.05 | VGG-16 · CIFAR-10 | CVaR at 0.05 | Hurt |
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