Xin Bing
4 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
Venues
Top co-authors
Research topics
Keywords
matrix factorization
(2)
non-convex optimization
(1)
feature extraction
(1)
parameter estimation
(1)
topic modeling
(1)
kernel ridge regression
(1)
low-rank matrix
(1)
principal component regression
(1)
latent factor model
(1)
sparse topic model
(1)
minimax lower bound
(1)
risk bound
(1)
random feature
(1)
prediction risk
(1)
sparse decomposition
(1)
unique decomposition
(1)
exponential decay
(1)
polynomial decay
(1)
learning accuracy
(1)
model selection
(1)
Papers
Towards Theoretical Understanding of Learning Large-scale Dependent Data via Random Features
ICML 2024
Prediction Under Latent Factor Regression: Adaptive PCR, Interpolating Predictors and Beyond
JMLR 2021
Unique sparse decomposition of low rank matrices
NeurIPS 2021
Optimal Estimation of Sparse Topic Models
JMLR 2020