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Hongkang Li
Publication Activity (10 Years)
Years Active: 2022-2023
Publications (10 Years): 9
Top Topics
Neural Network
Vc Dimension
Sample Size
Sample Complexity
Top Venues
CoRR
ICLR
ICML
NeurIPS
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Publications
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Hongkang Li
,
Meng Wang
,
Sijia Liu
,
Pin-Yu Chen
A Theoretical Understanding of shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
CoRR
(2023)
Shuai Zhang
,
Hongkang Li
,
Meng Wang
,
Miao Liu
,
Pin-Yu Chen
,
Songtao Lu
,
Sijia Liu
,
Keerthiram Murugesan
,
Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR
(2023)
Hongkang Li
,
Meng Wang
,
Sijia Liu
,
Pin-Yu Chen
A Theoretical Understanding of Shallow Vision Transformers: Learning, Generalization, and Sample Complexity.
ICLR
(2023)
Hui Wan
,
Hongkang Li
,
Songtao Lu
,
Xiaodong Cui
,
Marina Danilevsky
How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context.
CoRR
(2023)
Shuai Zhang
,
Hongkang Li
,
Meng Wang
,
Miao Liu
,
Pin-Yu Chen
,
Songtao Lu
,
Sijia Liu
,
Keerthiram Murugesan
,
Subhajit Chaudhury
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
NeurIPS
(2023)
Hongkang Li
,
Meng Wang
,
Sijia Liu
,
Pin-Yu Chen
,
Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
ICML
(2022)
Hongkang Li
,
Shuai Zhang
,
Meng Wang
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data.
CoRR
(2022)
Hongkang Li
,
Meng Wang
,
Sijia Liu
,
Pin-Yu Chen
,
Jinjun Xiong
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling.
CoRR
(2022)
Hongkang Li
,
Shuai Zhang
,
Meng Wang
Learning and generalization of one-hidden-layer neural networks, going beyond standard Gaussian data.
CISS
(2022)