Research map / Learning theory and algorithms / Prediction and decision losses
Online List Labeling with Predictions
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add prediction-guided LearnedLLA around PMA | PMA · Gowalla (Latitude) | amortized cost: 6.47 -> 4.32 | Helped |
| Add prediction-guided LearnedLLA around APMA | APMA · Gowalla (Latitude) | amortized cost: 6.93 -> 4.39 | Helped |
| Add prediction-guided LearnedLLA around PMA | PMA · Gowalla (LocationID) | amortized cost: 6.96 -> 5.99 | Helped |
| Add prediction-guided LearnedLLA around APMA | APMA · Gowalla (LocationID) | amortized cost: 5.64 -> 5.01 | Helped |
| Add prediction-guided LearnedLLA around PMA | PMA · MOOC | amortized cost: 19.22 -> 11.99 | Helped |
| Add prediction-guided LearnedLLA around APMA | APMA · MOOC | amortized cost: 16.70 -> 12.13 | Helped |
| Add prediction-guided LearnedLLA around PMA | PMA · AskUbuntu | amortized cost: 24.62 -> 14.29 | Helped |
| Add prediction-guided LearnedLLA around APMA | APMA · AskUbuntu | amortized cost: 11.34 -> 8.53 | Helped |
| Add prediction-guided LearnedLLA around PMA | PMA · email-Eu-core | amortized cost: 21.48 -> 16.48 | Helped |
| Add prediction-guided LearnedLLA around APMA | APMA · email-Eu-core | amortized cost: 21.44 -> 16.49 | Helped |
| Use prediction-guided learned list labeling | PMA and APMA · Real temporal datasets | amortized cost | Mixed |
| Use only a small amount of past data to construct predictions | LearnedLLA · Gowalla (Latitude) | amortized cost: 5% | Helped |
Closest papers by meaning
- A Trichotomy for List Transductive Online Learning (ICML 2025 · similarity 0.85)
- List Update with Prediction (AAAI 2025 · similarity 0.84)
- Learning-Augmented Search Data Structures (ICLR 2025 · similarity 0.84)
- Online Classification with Predictions (NeurIPS 2024 · similarity 0.84)
- Learning-Augmented Algorithms with Explicit Predictors (NeurIPS 2024 · similarity 0.84)
- Stochastic Online Conformal Prediction with Semi-Bandit Feedback (ICML 2025 · similarity 0.83)
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