Kosuke Sugiyama

According to our database, Kosuke Sugiyama authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Learning from Similarity/Dissimilarity and Pairwise Comparison.

Tomoya Tate, Kosuke Sugiyama, Masato Uchida

CoRR, March, 2026

Pool-based Active Learning as Noisy Lossy Compression: Characterizing Label Complexity via Finite Blocklength Analysis.

Kosuke Sugiyama, Masato Uchida

CoRR, February, 2026

Supervised Learning as Lossy Compression: Characterizing Generalization and Sample Complexity via Finite Blocklength Analysis.

Kosuke Sugiyama, Masato Uchida

CoRR, February, 2026

Learning From Complementary Features.

Kosuke Sugiyama, Masato Uchida

IEEE Access, 2026

2025

Learning from Similarity-Confidence and Confidence-Difference.

Tomoya Tate, Kosuke Sugiyama, Masato Uchida

CoRR, August, 2025

Learning from Hard Labels with Additional Supervision on Non-Hard-Labeled Classes.

Kosuke Sugiyama, Masato Uchida

CoRR, July, 2025

A Unified Framework for Generalization Error Analysis of Learning with Arbitrary Discrete Weak Features.

Kosuke Sugiyama, Masato Uchida

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unified Analysis of Continuous Weak Features Learning with Applications to Learning from Missing Data.

Kosuke Sugiyama, Masato Uchida

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Solving Distance-constrained Labeling Problems for Small Diameter Graphs via TSP.

Tesshu Hanaka, Hirotaka Ono, Kosuke Sugiyama

Int. J. Netw. Comput., 2024

2023

Shortest Beer Path Queries Based on Graph Decomposition.

Tesshu Hanaka, Hirotaka Ono, Kunihiko Sadakane, Kosuke Sugiyama

Proceedings of the 34th International Symposium on Algorithms and Computation, 2023

Solving Distance-constrained Labeling Problems for Small Diameter Graphs via TSP^*.

Tesshu Hanaka, Hirotaka Ono, Kosuke Sugiyama

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

Exploring Hessian Regularization in Mixup.

Kosuke Sugiyama, Masato Uchida

Proceedings of the International Conference on Machine Learning and Applications, 2023

Balancing Selection and Diversity in Ensemble Learning with Exponential Mixture Model.

Kosuke Sugiyama, Masato Uchida

Proceedings of the Artificial Neural Networks and Machine Learning, 2023