Research map / Bandits and online learning / Contextual bandits and Thompson sampling
Nonparametric Stochastic Contextual Bandits
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use kNN regression instead of Ridge for top-arm identification | Quintic Function · Quintic Function | top-arm test error: 0.065 -> 0.002 | Helped |
| Use kNN-UCB instead of Ridge UCB | Quintic Function · Quintic Function | test regret: 0.0315 -> 0.001 | Helped |
| Use kNN regression instead of Ridge for top-arm identification | Smiley · Smiley | top-arm test error: 0.080 -> 0.000 | Helped |
| Use kNN-UCB instead of Ridge UCB | Smiley · Smiley | test regret: 0.0375 -> 0.0135 | Helped |
| Use kNN regression instead of Ridge for top-arm identification | Bullseye · Bullseye | top-arm test error: 0.335 -> 0.005 | Helped |
| Use kNN-UCB instead of Ridge UCB | Bullseye · Bullseye | test regret: 0.161 -> 0.004 | Helped |
| Use 4-NNUCB instead of LinUCB | MNIST classification · MNIST test | test regret: 17.5% -> 5.8% | Helped |
Closest papers by meaning
- Nonparametric Contextual Bandits in Metric Spaces with Unknown Metric (NeurIPS 2019 · similarity 0.92)
- Stochastic Bandits with Context Distributions (NeurIPS 2019 · similarity 0.91)
- Contextual Bandits for Unbounded Context Distributions (ICML 2025 · similarity 0.91)
- Semiparametric Contextual Bandits (ICML 2018 · similarity 0.91)
- Model Selection for Contextual Bandits (NeurIPS 2019 · similarity 0.90)
- Stochastic contextual bandits with graph feedback: from independence number to MAS number (NeurIPS 2024 · similarity 0.89)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.