Research map / Learning theory and algorithms / Prediction and decision losses
Online Active Regression
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use online Lewis-weight sampling instead of online uniform sampling | Online Active Regression · Synthetic and real-world data, active ℓ2 regression | relative objective error | Helped |
| Use online Lewis-weight sampling | Online Active Regression · Synthetic and real-world data, active ℓ1 regression | relative objective error | Helped |
| Use online active regression instead of offline active regression | Online Active Regression · Synthetic data, active ℓ2 regression | relative objective error | No clear effect |
Closest papers by meaning
- Semi-supervised Active Linear Regression (NeurIPS 2022 · similarity 0.92)
- Online Active Linear Regression via Thresholding (AAAI 2017 · similarity 0.90)
- Active Learning for Non-Parametric Regression Using Purely Random Trees (NeurIPS 2018 · similarity 0.87)
- Active Heteroscedastic Regression (ICML 2017 · similarity 0.87)
- Near-optimal Active Regression of Single-Index Models (ICLR 2025 · similarity 0.87)
- Robust Regression of General ReLUs with Queries (NeurIPS 2025 · similarity 0.85)
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