Ryoma Sato

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?

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[DOI]

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Feature-Robust Optimal Transport for High-Dimensional Data.

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Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem.

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Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Re-evaluating Word Mover's Distance.

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Proceedings of the International Conference on Machine Learning, 2022

Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

CLEAR: A Fully User-side Image Search System.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Towards Principled User-side Recommender Systems.

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Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Fixed Support Tree-Sliced Wasserstein Barycenter.

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Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Random Features Strengthen Graph Neural Networks.

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Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Supervised Tree-Wasserstein Distance.

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Yuki Takezawa

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

A Survey on The Expressive Power of Graph Neural Networks.

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CoRR, 2020

Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces.

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CoRR, 2020

Fast Unbalanced Optimal Transport on a Tree.

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Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning to Find Hard Instances of Graph Problems.

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CoRR, 2019

Approximation Ratios of Graph Neural Networks for Combinatorial Problems.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning to Sample Hard Instances for Graph Algorithms.

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Proceedings of The 11th Asian Conference on Machine Learning, 2019

2018

Short-Term Precipitation Prediction with Skip-Connected PredNet.

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