QIU, HAO
QIU, HAO
Dipartimento di Informatica Giovanni Degli Antoni
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Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
2026 H. Qiu, M. Zhang, N. Cesa Bianchi
DISTRIBUTED AND DELAYED ONLINE LEARNING
2025 H. Qiu
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
2025 H. Qiu, E. Esposito, M. Zhang
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
2023 D. Van Der Hoeven, C. Pike-Burke, H. Qiu, N. Cesa Bianchi
Delayed Bandits: When Do Intermediate Observations Help?
2023 E. Esposito, S. Masoudian, H. Qiu, D. VAN DER HOEVEN, N. Cesa-Bianchi, Y. Seldin
| Titolo | Data di pubblicazione | Autori | Tipo | File | Abstract |
|---|---|---|---|---|---|
| Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach | 2026 | H. QiuN. Cesa Bianchi + | Book Part (author) | - | |
| DISTRIBUTED AND DELAYED ONLINE LEARNING | 2025 | QIU, HAO | Doctoral Thesis | - | |
| Exploiting Curvature in Online Convex Optimization with Delayed Feedback | 2025 | Hao QiuEmmanuel Esposito + | Book Part (author) | - | |
| Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts | 2023 | H. QiuN. Cesa Bianchi + | Book Part (author) | - | |
| Delayed Bandits: When Do Intermediate Observations Help? | 2023 | Emmanuel EspositoHao QiuDirk van der HoevenNicolo' Cesa-Bianchi + | Book Part (author) | - |