Liao, Shizhong

23 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

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

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

AAAI 2021 Regret Bounds for Online Kernel Selection in Continuous Kernel Space Xiao Zhang, Shizhong Liao, Jun Xu, Ji-Rong Wen

IJCAI 2020 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space Xiao Zhang, Shizhong Liao

AAAI 2019 Approximate Kernel Selection with Strong Approximate Consistency Lizhong Ding, Yong Liu, Shizhong Liao, Yu Li, Peng Yang, Yijie Pan, Chao Huang, Ling Shao, Xin Gao

ICML 2019 Incremental Randomized Sketching for Online Kernel Learning Xiao Zhang, Shizhong Liao

AAAI 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data Lizhong Ding, Zhi Liu, Yu Li, Shizhong Liao, Yong Liu, Peng Yang, Ge Yu, Ling Shao, Xin Gao

IJCAI 2018 Fast Cross-Validation Yong Liu, Hailun Lin, Lizhong Ding, Weiping Wang, Shizhong Liao

IJCAI 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment Xiao Zhang, Shizhong Liao

AAAI 2018 Randomized Kernel Selection with Spectra of Multilevel Circulant Matrices Lizhong Ding, Shizhong Liao, Yong Liu, Peng Yang, Xin Gao

AAAI 2017 Generalization Analysis for Ranking Using Integral Operator Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

AAAI 2017 Infinite Kernel Learning: Generalization Bounds and Algorithms Yong Liu, Shizhong Liao, Hailun Lin, Yinliang Yue, Weiping Wang

AAAI 2015 Eigenvalues Ratio for Kernel Selection of Kernel Methods Yong Liu, Shizhong Liao

IJCAI 2015 Random Feature Mapping with Signed Circulant Matrix Projection Chang Feng, Qinghua Hu, Shizhong Liao

ECML-PKDD 2014 Approximate Consistency: Towards Foundations of Approximate Kernel Selection Lizhong Ding, Shizhong Liao

ICML 2014 Efficient Approximation of Cross-Validation for Kernel Methods Using Bouligand Influence Function Yong Liu, Shali Jiang, Shizhong Liao

ECML-PKDD 2014 Preventing Over-Fitting of Cross-Validation with Kernel Stability Yong Liu, Shizhong Liao

ACML 2011 Approximate Model Selection for Large Scale LSSVM Lizhong Ding, Shizhong Liao