shaogao lv
6 papers · 2016–2024 · 3 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (3) π Academic Marathon (8) π Cross-Pollinator (12)
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Conferences
JMLR (3)
IJCAI (2)
NIPS (1)
Top co-authors
Keywords
generalization bound
(2)
stability analysis
(1)
reproducing kernel hilbert space
(1)
multi-kernel learning
(1)
nonparametric classification
(1)
support vector machine
(1)
high-dimensional datum
(1)
stochastic gradient langevin dynamics
(1)
model-free method
(1)
graph convolutional network
(1)
pac-bayesian theory
(1)
oracle rate
(1)
stochastic learning
(1)
graph smoothing
(1)
data-dependent prior
(1)
local entropy
(1)
gradient function
(1)
selection consistency
(1)
lasso regularization
(1)
kernel methods
(1)
Papers
Meta-Learning via PAC-Bayesian with Data-Dependent Prior: Generalization Bounds from Local Entropy
IJCAI 2024
Stability and Generalization of lp-Regularized Stochastic Learning for GCN
IJCAI 2023
Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches
JMLR 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
NIPS 2021
Model-free Variable Selection in Reproducing Kernel Hilbert Space
JMLR 2016