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Makoto Yamada

Identifiers

  • name variant Makoto Yamada 0.60 · backfill

Papers (27)

  1. Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation cs.LG · 2025 · author #3
  2. On Verbalized Confidence Scores for LLMs cs.CL · 2024 · author #3
  3. Deep learning-based quality filtering of mechanically exfoliated 2D crystals physics.app-ph · 2019 · author #9
  4. Topological Bayesian Optimization with Persistence Diagrams cs.LG · 2019 · author #4
  5. Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator stat.ML · 2018 · author #1
  6. Selecting the Best in GANs Family: a Post Selection Inference Framework cs.LG · 2018 · author #2
  7. "Dependency Bottleneck" in Auto-encoding Architectures: an Empirical Study cs.IT · 2018 · author #4
  8. Persistence Fisher Kernel: A Riemannian Manifold Kernel for Persistence Diagrams stat.ML · 2018 · author #2
  9. Deep Matching Autoencoders cs.CV · 2017 · author #2
  10. Convex Coupled Matrix and Tensor Completion stat.ML · 2017 · author #2
  11. Interpreting Outliers: Localized Logistic Regression for Density Ratio Estimation stat.ML · 2017 · author #1
  12. Post Selection Inference with Kernels stat.ML · 2016 · author #1
  13. Ultra High-Dimensional Nonlinear Feature Selection for Big Biological Data stat.ML · 2016 · author #1
  14. Localized Lasso for High-Dimensional Regression stat.ML · 2016 · author #1
  15. Convex Factorization Machine for Regression stat.ML · 2015 · author #1
  16. Consistent Collective Matrix Completion under Joint Low Rank Structure stat.ML · 2014 · author #2
  17. Multi-view Anomaly Detection via Probabilistic Latent Variable Models stat.ML · 2014 · author #2
  18. N$^3$LARS: Minimum Redundancy Maximum Relevance Feature Selection for Large and High-dimensional Data stat.ML · 2014 · author #1
  19. Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information stat.ML · 2012 · author #1
  20. Change-Point Detection in Time-Series Data by Relative Density-Ratio Estimation stat.ML · 2012 · author #2
  21. High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso stat.ML · 2012 · author #1
  22. Information-Maximization Clustering based on Squared-Loss Mutual Information stat.ML · 2011 · author #2
  23. Relative Density-Ratio Estimation for Robust Distribution Comparison stat.ML · 2011 · author #1
  24. SERAPH: Semi-supervised Metric Learning Paradigm with Hyper Sparsity stat.ML · 2011 · author #3
  25. Least-Squares Independence Regression for Non-Linear Causal Inference under Non-Gaussian Noise stat.ML · 2011 · author #1
  26. Sufficient Component Analysis for Supervised Dimension Reduction stat.ML · 2011 · author #1
  27. Cross-Domain Object Matching with Model Selection stat.ML · 2010 · author #1

Mentions

  • 1507.01073 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1412.2113 #2 · backfill · confidence 0.70 Makoto Yamada
  • 1411.3413 #2 · backfill · confidence 0.70 Makoto Yamada
  • 1411.2331 #1 · backfill · confidence 0.70 Makoto Yamada
  • 2509.02970 #3 · arxiv_oai · confidence 0.70 Makoto Yamada
  • 1206.4116 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1203.0453 #2 · backfill · confidence 0.70 Makoto Yamada
  • 1202.0515 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1112.0611 #2 · backfill · confidence 0.70 Makoto Yamada
  • 1106.4729 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1105.0167 #3 · backfill · confidence 0.70 Makoto Yamada
  • 1103.5537 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1103.4998 #1 · backfill · confidence 0.70 Makoto Yamada
  • 1012.1416 #1 · backfill · confidence 0.70 Makoto Yamada

Frequent Coauthors