Online up-concave maximization on Non-monotone functions over general convex sets
1Num QueriesZhang et al. (2024)
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Zhang et al. (2024)Feedback Order=VF, Feedback Type=Full Information, Nature=stoch., Projection Strategy=Projection-based2024.04 | 1 | — | 0.5 | |
| Corollary 7-dFeedback Order=VF, Feedback Type=Full Information, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.5 | |
| Pedramfar et al. (2024a)Feedback Order=VF, Feedback Type=Semi-bandit, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.75 | |
| Corollary 7-dFeedback Order=VF, Feedback Type=Semi-bandit, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.667 | |
| Corollary 7-dFeedback Order=F, Feedback Type=Full Information, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.75 | |
| Zhang et al. (2024)Feedback Order=F, Nature=det., Projection Strategy=Projection-based2024.04 | 1 | — | 0.8 | |
| Pedramfar et al. (2024a)Feedback Order=F, Feedback Type=Bandit, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.833 | |
| Corollary 7-dFeedback Order=F, Feedback Type=Bandit, Nature=stoch., Projection Strategy=Projection-free2024.04 | 1 | — | 0.8 | |
| Corollary 7-dFeedback Order=VF, Feedback Type=Semi-bandit, Nature=det., Projection Strategy=Projection-free2024.04 | 2 | — | 0.5 |