Research map / Bandits and online learning / Contextual bandits and Thompson sampling
Adaptive Sensor Placement for Continuous Spaces
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 Thompson sampling with increasingly granular Bayesian histograms | Adaptive sensor placement · Bimodal rate simulation | cumulative regret | Helped |
| Use linear rather than cube-root rebinning (ablation) | Thompson sampling · Unimodal rate simulation | cumulative regret | Hurt |
| Use square-root rather than cube-root rebinning (ablation) | Thompson sampling · Unimodal rate simulation | cumulative regret | Hurt |
| Use cube-root rather than linear rebinning (ablation) | Thompson sampling · Unimodal rate simulation | posterior concentration | Helped |
| Replace the UCB rate bound with empirical-mean-based indices (ablation) | UCB (modified-UCB) · Bimodal rate simulation | cumulative regret | Helped |
| Use epsilon-greedy instead of modified-UCB | Baseline policies · Bimodal rate simulation | mean cumulative regret | No clear effect |
| Use epsilon-greedy instead of modified-UCB | Baseline policies · Bimodal rate simulation | regret variance | Hurt |
Closest papers by meaning
- Bandit Quickest Changepoint Detection (NeurIPS 2021 · similarity 0.87)
- No-regret Algorithms for Capturing Events in Poisson Point Processes (ICML 2021 · similarity 0.86)
- Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization (ICML 2024 · similarity 0.85)
- Bayesian Analysis of Combinatorial Gaussian Process Bandits (ICLR 2025 · similarity 0.84)
- Fixed-Confidence Multiple Change Point Identification under Bandit Feedback (ICML 2025 · similarity 0.84)
- Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency (ICML 2024 · similarity 0.84)
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.