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Tasuku Soma

  1. Spectral Sparsification of Hypergraphs
    2018/07/13 by Tasuku Soma, Yuichi Yoshida, Soma, Tasuku +1 · 7 citations
    Chemistry · Computer Science · Engineering · #Data Structures and Algorithms (cs.DS) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Machine Learning and Algorithms #Metal-Organic Frameworks: Synthesis and Applications #Sparse and Compressive Sensing Techniques
  2. Statistical Learning with Conditional Value at Risk
    2020/02/14 by Tasuku Soma, Soma, Tasuku, Yuichi Yoshida +1 · 3 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
  3. Online Algorithms for Spectral Hypergraph Sparsification
    2023/10/04 by Tasuku Soma, Soma, Tasuku, Kam Chuen Tung +3 · 3 citations
    Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques
  4. Shrunk subspaces via operator Sinkhorn iteration
    2022/07/17 by Cole Franks, Franks, Cole, Tasuku Soma +3 · 2 citations
    Computer Science · Mathematics · #Complexity and Algorithms in Graphs #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Limits and Structures in Graph Theory #Random Matrices and Applications
  5. Near-Optimal Algorithms for Group Distributionally Robust Optimization and Beyond
    2022/12/28 by Tasuku Soma, Soma, Tasuku, Khashayar Gatmiry +3 · 2 citations
    Decision Sciences · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization
  6. Maximally Invariant Data Perturbation as Explanation
    2018/06/19 by Satoshi Hara, Hara, Satoshi, Kouichi Ikeno +5 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. No-regret algorithms for online k-submodular maximization
    2018/07/13 by Tasuku Soma, Soma, Tasuku · 1 citation
    Decision Sciences · Computer Science · #Advanced Bandit Algorithms Research #Complexity and Algorithms in Graphs #Stochastic Gradient Optimization Techniques
  8. Algebraic combinatorial optimization on the degree of determinants of noncommutative symbolic matrices
    2023/10/24 by Hiroshi Hirai, Yuni Iwamasa, Hirai, Hiroshi +5 · 1 citation
    Computer Science · Engineering · Mathematics · #68Q25 #90C27 #Combinatorics (math.CO) #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Graph Labeling and Dimension Problems #Graph theory and applications #graph theory and CDMA systems