Akiko Takeda

Venues

Frequent coauthors

Papers

1. Efficient Optimization with Orthogonality Constraint: a Randomized Riemannian Submanifold Method
   ICML 2025 ·

   Andi Han

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2. Improving Convergence Guarantees of Random Subspace Second-order Algorithm for Nonconvex Optimization
   ICLR 2025 ·

   Rei Higuchi

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3. Modified K-means Algorithm with Local Optimality Guarantees
   ICML 2025 ·

   Mingyi Li

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4. On the Role of Label Noise in the Feature Learning Process
   ICML 2025 ·

   Andi Han

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5. The Adaptive Complexity of Finding a Stationary Point
   COLT 2025 ·

   Huanjian Zhou

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6. Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
   AAAI 2025 ·

   Yuya Hikima

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7. A Framework for Bilevel Optimization on Riemannian Manifolds
   NeurIPS 2024 ·

   Andi Han

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8. SLTrain: a sparse plus low rank approach for parameter and memory efficient pretraining
   NeurIPS 2024 ·

   Andi Han

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