Shizhong Liao

14 papers · 2011–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+6 more ↓

🗺️ Taxonomy Completionist (21) 🏃 Academic Marathon · Half 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🧭 Keyword Pioneer 🏆 Keyword Champion (3) 📈 Trend Setter 🚀 Conference Pioneer 💎 Century Club · Bronze 🗃️ Keyword Collector (54)

Venues

AAAI (5) IJCAI (4) ICML (3) ACML (1) COLT (1)

Top co-authors

Lizhong Ding (4) Junfan Li (4) Yong Liu (4) Xiao Zhang (4) Ling Shao (2) Yu Li (2) Xin Gao (2) Peng Yang (2) Qinghua Hu (2) Chao Huang (1)

Research topics

Machine Learning (13) Optimization & Theory · Machine Learning (13) Mathematics & Optimization (10) Core Methods (10) Optimization (7) Learning Types (5) Mathematics (3) Deep Learning (1) Application Areas (1) Bayesian & Probabilistic (1) Optimization & Theory · Deep Learning (1) Statistics (1)

Keywords

regret bound (7) kernel methods (6) online learning (4) model selection (4) online kernel learning (3) matrix approximation (2) nyström approximation (2) eigenvalue decay (2) kernel selection (2) online kernel selection (2) kernel alignment (2) influence function (2) kernel matrix (2) sublinear complexity (1) nyström method (1) reproducing kernel hilbert space (1) nystrom method (1) hinge loss (1) two-sample test (1) sublinear regret (1)

Papers

A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions COLT 2025 Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound AAAI 2024 Improved Kernel Alignment Regret Bound for Online Kernel Learning AAAI 2023 Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression ICML 2023 Regret Bounds for Online Kernel Selection in Continuous Kernel Space AAAI 2021 Hypothesis Sketching for Online Kernel Selection in Continuous Kernel Space IJCAI 2020 Approximate Kernel Selection with Strong Approximate Consistency AAAI 2019 Incremental Randomized Sketching for Online Kernel Learning ICML 2019 Linear Kernel Tests via Empirical Likelihood for High-Dimensional Data AAAI 2019 Fast Cross-Validation IJCAI 2018 Online Kernel Selection via Incremental Sketched Kernel Alignment IJCAI 2018 Random Feature Mapping with Signed Circulant Matrix Projection IJCAI 2015 Efficient Approximation of Cross-Validation for Kernel Methods using Bouligand Influence Function ICML 2014 Approximate Model Selection for Large Scale LSSVM ACML 2011