Shao-Bo Lin
9 papers · 2017–2025 · 2 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (20) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (2) π Academic Marathon (8)
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Cross-Pollinator
(9)
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Interdisciplinary Bridge
π₯
Unstoppable
(6)
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Trend Setter
Conferences
JMLR (8)
IJCAI (1)
Top co-authors
Keywords
kernel ridge regression
(4)
distributed learning
(4)
learning rate
(4)
kernel methods
(3)
privacy preservation
(1)
neural network optimization
(1)
semi-supervised learning
(1)
adaptive algorithm
(1)
regularized learning
(1)
reproducing kernel hilbert space
(1)
time series forecasting
(1)
generalization error
(1)
privacy-preserving learning
(1)
nonlinear approximation
(1)
early stopping
(1)
kernel learning
(1)
generalization bound
(1)
boosting algorithm
(1)
global convergence
(1)
metric learning
(1)
Papers
Kernel-based L_2-Boosting with Structure Constraints
JMLR 2025
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
JMLR 2025
Nystrom Regularization for Time Series Forecasting
JMLR 2022
On ADMM in Deep Learning: Convergence and Saturation-Avoidance
JMLR 2021
Distributed Kernel Ridge Regression with Communications
JMLR 2020
Boosted Kernel Ridge Regression: Optimal Learning Rates and Early Stopping
JMLR 2019
Generalization Bounds for Regularized Pairwise Learning
IJCAI 2018
Distributed Learning with Regularized Least Squares
JMLR 2017
Distributed Semi-supervised Learning with Kernel Ridge Regression
JMLR 2017