shaogao lv
6 papers · 2016–2024 · 3 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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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(18)
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Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
generalization bound
(2)
reproducing kernel hilbert space
(2)
high-dimensional statistics
(1)
stability analysis
(1)
high-dimensional estimation
(1)
multi-kernel learning
(1)
divide and conquer
(1)
nonparametric classification
(1)
support vector machine
(1)
minimax rate
(1)
high-dimensional data
(1)
stochastic gradient langevin dynamics
(1)
model-free method
(1)
semi-parametric model
(1)
graph convolutional network
(1)
pac-bayesian theory
(1)
randomized sketch
(1)
oracle rate
(1)
stochastic learning
(1)
graph smoothing
(1)
Papers
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 2023
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions
JMLR 2022
Improved Learning Rates of a Functional Lasso-type SVM with Sparse Multi-Kernel Representation
NeurIPS 2021
Model-free Variable Selection in Reproducing Kernel Hilbert Space
JMLR 2016