Li, Junfan

9 publications

COLT 2025 A Polynomial-Time Algorithm for Online Sparse Linear Regression with Improved Regret Bound Under Weaker Conditions Junfan Li, Shizhong Liao, Zenglin Xu, Liqiang Nie

NeurIPS 2025 DOTA: Distributional Test-Time Adaptation of Vision-Language Models Zongbo Han, Jialong Yang, Guangyu Wang, Junfan Li, Qianli Xu, Mike Zheng Shou, Changqing Zhang

AAAI 2024 Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound Yun Liao, Junfan Li, Shizhong Liao, Qinghua Hu, Jianwu Dang

NeurIPS 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data Junfan Li, Zheshun Wu, Zenglin Xu, Irwin King

AAAI 2023 Improved Kernel Alignment Regret Bound for Online Kernel Learning Junfan Li, Shizhong Liao

ICML 2023 Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression Junfan Li, Shizhong Liao

ECML-PKDD 2022 Improved Regret Bounds for Online Kernel Selection Under Bandit Feedback Junfan Li, Shizhong Liao

MLJ 2022 Worst-Case Regret Analysis of Computationally Budgeted Online Kernel Selection Junfan Li, Shizhong Liao

ECML-PKDD 2021 High-Probability Kernel Alignment Regret Bounds for Online Kernel Selection Shizhong Liao, Junfan Li