Shinsaku Sakaue
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    • Making individually fair predictions with causal pathways
    • Improved generalization bound and learning of sparsity patterns for data-driven low-rank approximation
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    • On maximization of weakly modular functions: Guarantees of multi-stage algorithms, tractability, and hardness
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Improved generalization bound and learning of sparsity patterns for data-driven low-rank approximation

May 1, 2023·
Shinsaku Sakaue
,
Taihei Oki
· 0 min read
PDF Code
Type
Conference paper
Publication
International Conference on Artificial Intelligence and Statistics (AISTATS)
Last updated on May 1, 2023
← Making individually fair predictions with causal pathways Jul 1, 2023
Exact and scalable network reliability evaluation for probabilistic correlated failures Dec 4, 2022 →

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