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Home/Authors/Peng Zhao

Peng Zhao

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

ML×2Stats ML×2Stats Theory×1

Frequent co-authors

Yan-Feng Xie1×
Shuche Wang1×
Zhi-Hua Zhou1×

Research Timeline

2026
Online Learning with Gradient-Variation Interval Regret

The paper proposes a novel online learning algorithm that achieves an interval regret bound scaling with gradient variation, providing strong theoretical guarantees for non-stationary environments.

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent

This paper proposes a method for handling overparameterized linear regression using early-stopped negative-shifted gradient descent, which allows for smooth filters and mixed-sign capabilities.

Highlighted terms show continued research focus across papers

Papers

cs.LGmath.STstat.MLTheoreticalRecentJul 24, 2026

Beyond Negative-Ridge Endpoints: Mixed-Sign Spectral Regularization via Negative-Shifted Gradient Descent

Peng Zhao

This paper proposes a method for handling overparameterized linear regression using early-stopped negative-shifted gradient descent, which allows for smooth filters and mixed-sign capabilities.

View →
cs.LGstat.MLRecent
Jun 2, 2026

Online Learning with Gradient-Variation Interval Regret

Yan-Feng Xie, Shuche Wang, Peng Zhao, Zhi-Hua Zhou

The paper proposes a novel online learning algorithm that achieves an interval regret bound scaling with gradient variation, providing strong theoretical guarantees for non-stationary environments.

View →