Lai Tian
6 papers · 2019–2022 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
non-convex optimization
(2)
support vector machine
(2)
feature selection
(2)
principal component analysis
(1)
matrix factorization
(1)
subspace learning
(1)
sparse representation
(1)
global convergence
(1)
low-rank approximation
(1)
discriminant analysis
(1)
multi-view learning
(1)
variance reduction
(1)
sparse optimization
(1)
structured sparsity
(1)
accelerated gradient
(1)
nonsmooth optimization
(1)
norm regularization
(1)
gradient norm
(1)
first-order method
(1)
svrg method
(1)
Papers
Computing D-Stationary Points of $ρ$-Margin Loss SVM
AISTATS 2022
On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions
ICML 2022
Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums
AISTATS 2022
Discriminative Feature Selection via A Structured Sparse Subspace Learning Module
IJCAI 2020
Learning Feature Sparse Principal Subspace
NeurIPS 2020
A Unified Weight Learning Paradigm for Multi-view Learning
AISTATS 2019