Publications
A collection of my research work.
† denotes equal contribution or alphabetical order.
Universal Online Convex Optimization with Delayed Feedback
Hao Qiu†, Andrew Jacobsen†, Emmanuel Esposito, Mengxiao Zhang
Preprint
Near-Optimal Regret in Decentralized Stochastic Linear and Kernel Bandits
Hao Qiu, Yu-Jie Zhang, Jonathan Scarlett
Preprint
Near-Optimal Regret in Adversarial Kernel Bandits
Yu-Jie Zhang†, Hao Qiu†, Jonathan Scarlett, Kevin Jamieson
Conference on Neural Information Processing Systems (NeurIPS 2026)
Strongly Adaptive Online Learning with Time-Varying Movement Cost
Andrew Jacobsen, Emmanuel Esposito, Hao Qiu, Mengxiao Zhang
Conference on Neural Information Processing Systems (NeurIPS 2026)
Parameter-free Dynamic Regret: Time-varying Movement Costs, Delayed Feedback, and Memory
Hao Qiu†, Andrew Jacobsen†, Emmanuel Esposito†, Mengxiao Zhang†
International Conference on Machine Learning (ICML 2026)
Near-Optimal Regret for Distributed Adversarial Bandits: A Black-Box Approach
Hao Qiu†, Mengxiao Zhang†, Nicolò Cesa-Bianchi
Conference on Learning Theory (COLT 2026)
Decentralized online convex optimization with unknown feedback delays
Hao Qiu, Mengxiao Zhang, Juliette Achddou
AAAI Conference on Artificial Intelligence (AAAI 2026)
Distributed multi-agent bandits over Erdős-Rényi random networks
Jingyuan Liu†, Hao Qiu†, Lin Yang, Mengfan Xu
Conference on Neural Information Processing Systems (NeurIPS 2025)
Federated multi-armed bandits with efficient bit-level communications
Haoran Zhang, Yang Xu, Xuchuang Wang, Hao-Xu Chen, Hao Qiu, Lin Yang, Yang Gao
Conference on Neural Information Processing Systems (NeurIPS 2025)
Near-optimal regret bounds for federated multi-armed bandits with fully distributed communication
Haoran Zhang, Xuchuang Wang, Haoxu Chen, Hao Qiu, Lin Yang, Yang Gao
Conference on Uncertainty in Artificial Intelligence (UAI 2025)
Exploiting Curvature in Online Convex Optimization with Delayed Feedback
Hao Qiu†, Emmanuel Esposito†, Mengxiao Zhang†
International Conference on Machine Learning (ICML 2025)
Distributed online optimization with stochastic agent availability
Juliette Achddou, Nicolò Cesa-Bianchi, Hao Qiu
Preprint
Delayed bandits: when do intermediate observations help?
Emmanuel Esposito, Saeed Masoudian, Hao Qiu, Dirk van der Hoeven, Nicolò Cesa-Bianchi, Yevgeny Seldin
International Conference on Machine Learning (ICML 2023)
Trading-off payments and accuracy in online classification with paid stochastic experts
Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
International Conference on Machine Learning (ICML 2023)
Black-box adversarial attacks using evolution strategies
Hao Qiu, Leonardo Lucio Custode, Giovanni Iacca
Genetic and Evolutionary Computation Conference (GECCO 2021)