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Akiko Takeda
Akiko Takeda
7
papers
52
total citations
papers (7)
A Gradient Method for Multilevel Optimization
NEURIPS 2021
arXiv
22
citations
Single Loop Gaussian Homotopy Method for Non-convex Optimization
NEURIPS 2022
arXiv
21
citations
On the Role of Label Noise in the Feature Learning Process
ICML 2025
arXiv
4
citations
Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
AAAI 2025
arXiv
3
citations
Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
ICLR 2025
arXiv
1
citations
Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
ICML 2025
arXiv
1
citations
Modified K-means Algorithm with Local Optimality Guarantees
ICML 2025
arXiv
0
citations