Research map / Bandits and online learning / Online convex optimization and games
Safe Online Convex Optimization with Unknown Linear Safety Constraints
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use SO-PGD with safe exploration and a conservative safe-set estimate | online convex optimization with unknown linear safety constraints · f1 simulation | R(t)/t^(2/3): ~20 | Mixed |
| Use SO-PGD with safe exploration and a conservative safe-set estimate | online convex optimization with unknown linear safety constraints · f2 simulation | R(t)/t^(2/3): ~4 | Mixed |
| Replace the conservative safe-set estimate with a naive least-squares safe-set estimate (ablation) | SO-PGD · linear safety constraints | safety | Hurt |
| Use SO-PGD for data center scheduling with unknown safety constraints | data center scheduling · Data center scheduling | constraint violations: zero violations | Helped |
Closest papers by meaning
- Beyond $\tilde{O}(\sqrt{T})$ Constraint Violation for Online Convex Optimization with Adversarial Constraints (NeurIPS 2025 · similarity 0.91)
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- Optimal Algorithms for Online Convex Optimization with Adversarial Constraints (NeurIPS 2024 · similarity 0.90)
- Safe Online Convex Optimization with Heavy-Tailed Observation Noises (AAAI 2025 · similarity 0.90)
- Projection-Free Online Convex Optimization with Time-Varying Constraints (ICML 2024 · similarity 0.89)
- Unconstrained Robust Online Convex Optimization (ICML 2025 · similarity 0.89)
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