Research map / Bandits and online learning / Online convex optimization and games
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use Elim-NS with adaptive elimination and randomized exploration to set reserve prices | Online second-price auction · Non-stationary switching distributions | non-stationary regret: \tilde\mathcal{O}(\sqrt{\mathcal{S} T}) | Helped |
| Use Elim-NS with adaptive elimination and randomized exploration to set reserve prices | Online second-price auction · Non-stationary distributions measured by total variation | non-stationary regret: \tilde\mathcal{O}(\bar\mathcal{V}^{\frac{1}{3}}T^{\frac{2}{3}}) | Helped |
| Use Elim-NS without advance knowledge of the number of switches or total variation | Online second-price auction · Non-stationary environment | non-stationary regret | Helped |
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