Akiko Takeda

1. SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
   2024/06/04 by Andi Han, Han, Andi, Jiaxiang Li +11 · 13 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #Face and Expression Recognition #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Sparse and Compressive Sensing Techniques
2. Approximate bregman proximal gradient algorithm for relatively smooth nonconvex optimization
   2023/11/14 by Shota Takahashi, Akiko Takeda · 6 citations
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Optimization and Variational Analysis #Advanced Optimization Algorithms Research
3. Single Loop Gaussian Homotopy Method for Non-convex Optimization
   2022/03/11 by Hidenori Iwakiri, Iwakiri, Hidenori, Yuhang Wang +5 · 2 citations
   Engineering · Decision Sciences · Computer Science · #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research #Stochastic Gradient Optimization Techniques
4. A refined convergence analysis of \hbox pDCA_e pDCA e with applications to simultaneous sparse recovery and outlier detection
   2019/01/25 by Tianxiang Liu, Ting Kei Pong, Akiko Takeda · 1 citation
5. Perturbed Iterate SGD for Lipschitz Continuous Loss Functions
   2020/03/17 by Michael R. Metel, Akiko Takeda, Metel, Michael R. +1 · 1 citation
   Computer Science · #Image and Signal Denoising Methods
6. Stochastic Proximal Methods for Non-Smooth Non-Convex Constrained Sparse Optimization
   2019/05/23 by Michael R. Metel, Akiko Takeda, Metel, Michael R. +1 · 1 citation
   Computer Science · Engineering · Mathematics · #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
7. Zeroth-order Random Subspace Algorithm for Non-smooth Convex Optimization
   2024/01/25 by Ryota Nozawa, Nozawa, Ryota, Pierre‐Louis Poirion +3 · 2 citations
   Engineering · Computer Science · Mathematics · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Optimization Algorithms Research
8. A Gradient Method for Multilevel Optimization
   2021/05/28 by Ryo Sato, Mirai Tanaka, Sato, Ryo +3 · 1 citation
   Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Optimization and Variational Analysis #Machine Learning and Algorithms
9. A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
   2017/10/16 by Tianxiang Liu, Liu, Tianxiang, Ting Kei Pong +3 · 2 citations
   Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Optimization and Variational Analysis #Sparse and Compressive Sensing Techniques
10. A four-operator splitting algorithm for nonconvex and nonsmooth optimization
    2024/06/23 by Jan Harold Alcantara, Ching-pei Lee, Alcantara, Jan Harold +3 · 2 citations
    Mathematics · Engineering · Computer Science · #Advanced Optimization Algorithms Research #Sparse and Compressive Sensing Techniques #Optimization and Variational Analysis
11. Fast Frank--Wolfe Algorithms with Adaptive Bregman Step-Size for Weakly Convex Functions
    2025/04/06 by Shota Takahashi, Sebastian Pokutta, Takahashi, Shota +3 · 5 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #math.OC
12. Zeroth-Order Methods for Nonconvex Stochastic Problems with Decision-Dependent Distributions
    2024/12/29 by Yuya Hikima, Hikima, Yuya, Akiko Takeda +1 · 2 citations
    Decision Sciences · Computer Science · #Risk and Portfolio Optimization #Optimization and Variational Analysis
13. Adaptive Gradient-Based Methods for a Broader Class of Optimization Problems under Performative Prediction
    2026/07/29 by Hiroki Hamaguchi, Yuya Hikima, Hiroshi Sawada +1
    Computer Science · Mathematics · #cs.LG #math.OC