Hidetoshi Shimodaira

Identifiers

• name variant Hidetoshi Shimodaira 0.60 · backfill

Papers (21)

1. Reasoning Depth and Environment Complexity: A Controlled Study of RLVR Data Allocation across Logical Reasoning Tasks cs.CL · 2026 · author #7
2. Memorization, Emergence, and Explaining Reversal Failures: A Controlled Study of Relational Semantics in LLMs cs.CL · 2026 · author #8
3. Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings cs.CL · 2025 · author #5
4. Representation Learning with Weighted Inner Product for Universal Approximation of General Similarities cs.LG · 2019 · author #4
5. Robust Graph Embedding with Noisy Link Weights stat.ML · 2019 · author #2
6. An information criterion for auxiliary variable selection in incomplete data analysis stat.ME · 2019 · author #2
7. Selective Inference for Testing Trees and Edges in Phylogenetics stat.AP · 2019 · author #1
8. Graph Embedding with Shifted Inner Product Similarity and Its Improved Approximation Capability stat.ML · 2018 · author #3
9. Segmentation-free Compositional $n$-gram Embedding cs.CL · 2018 · author #3
10. On representation power of neural network-based graph embedding and beyond stat.ML · 2018 · author #2
11. A probabilistic framework for multi-view feature learning with many-to-many associations via neural networks stat.ML · 2018 · author #3
12. Selective inference for the problem of regions via multiscale bootstrap math.ST · 2017 · author #2
13. An information criterion for model selection with missing data via complete-data divergence stat.ME · 2015 · author #1
14. Cross-validation of matching correlation analysis by resampling matching weights stat.ML · 2015 · author #1
15. A simple coding for cross-domain matching with dimension reduction via spectral graph embedding stat.ML · 2014 · author #1
16. Technical details of the multistep-multiscale bootstrap resampling math.ST · 2013 · author #1
17. Higher-order accuracy of multiscale-double bootstrap for testing regions math.ST · 2013 · author #1
18. Computing p-values of LiNGAM outputs via Multiscale Bootstrap stat.ML · 2009 · author #3
19. Frequentist and Bayesian measures of confidence via multiscale bootstrap for testing three regions stat.ME · 2008 · author #1
20. A preferential attachment model with Poisson growth for scale-free networks stat.AP · 2008 · author #3
21. Approximately unbiased tests of regions using multistep-multiscale bootstrap resampling math.ST · 2005 · author #1

Mentions

• 1312.6354 #1 · backfill · confidence 0.70 Hidetoshi Shimodaira
• 1312.6348 #1 · backfill · confidence 0.70 Hidetoshi Shimodaira
• 2605.26934 #7 · arxiv_oai · confidence 0.70 Hidetoshi Shimodaira
• 0909.2904 #3 · backfill · confidence 0.70 Hidetoshi Shimodaira
• 0807.0053 #1 · backfill · confidence 0.70 Hidetoshi Shimodaira
• 0801.2800 #3 · backfill · confidence 0.70 Hidetoshi Shimodaira

Frequent Coauthors

• Akifumi Okuno 5 shared papers
• Geewook Kim 3 shared papers
• Akiko Aizawa 2 shared papers
• Fei Cheng 2 shared papers
• Jiaxin Wang 2 shared papers
• Kazuki Fukui 2 shared papers
• Qianying Liu 2 shared papers
• Sadao Kurohashi 2 shared papers
• Yihua Zhu 2 shared papers
• Yoshikazu Terada 2 shared papers
• Chaoran Liu 1 shared papers
• Haruyoshi Maeda 1 shared papers
• Hiroaki Yamagiwa 1 shared papers
• Momose Oyama 1 shared papers
• Paul Sheridan 1 shared papers
• Ryo Kishino 1 shared papers
• Shinpei Imori 1 shared papers
• Shohei Shimizu 1 shared papers
• Tetsuya Hada 1 shared papers
• Yuichi Yagahara 1 shared papers