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cs.LG2025
A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions
Junfan Li, Shizhong Liao, Zenglin Xu +1
In this paper, we study the problem of online sparse linear regression (OSLR) where the algorithms are restricted to accessing only out of attributes per instance for predi…
cs.LG2012★ 18 cited
Robust Metric Learning by Smooth Optimization
Kaizhu Huang, Rong Jin, Zenglin Xu +1
Most existing distance metric learning methods assume perfect side information that is usually given in pairwise or triplet constraints. Instead, in many real-world applications, t…