Ryoma Sato

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Active Learning

Traveling Salesman

Probability Measures

Top Venues

Trans. Mach. Learn. Res.

Publications

Ryoma Sato
User-Side Realization. CoRR (2024)
Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
Polyak Meets Parameter-free Clipped Gradient Descent. CoRR (2024)
Ryoma Sato
Making Translators Privacy-aware on the User's Side. Trans. Mach. Learn. Res. 2024 (2024)
Ryoma Sato
Training-free Graph Neural Networks and the Power of Labels as Features. CoRR (2024)
Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
Embarrassingly Simple Text Watermarks. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Necessary and Sufficient Watermark for Large Language Models. CoRR (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS (2023)
Ryoma Sato
Active Learning from the Web. WWW (2023)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. Trans. Mach. Learn. Res. 2023 (2023)
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR (2023)
Ryoma Sato
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. ICML (2023)
Ryoma Sato
Making Translators Privacy-aware on the User's Side. CoRR (2023)
Ryoma Sato
Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. CoRR (2023)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. CoRR (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM (2022)
Ryoma Sato
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? SDM (2022)
Ryoma Sato
CLEAR: A Fully User-side Image Search System. CoRR (2022)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics 16 (2) (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR (2022)
Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
Feature-Robust Optimal Transport for High-Dimensional Data. ECML/PKDD (5) (2022)
Ryoma Sato
CLEAR: A Fully User-side Image Search System. CIKM (2022)
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR (2022)
Ryoma Sato
Active Learning from the Web. CoRR (2022)
Ryoma Sato
Enumerating Fair Packages for Group Recommendations. WSDM (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Ryoma Sato
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. CoRR (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Re-evaluating Word Mover's Distance. ICML (2022)
Ryoma Sato
Towards Principled User-side Recommender Systems. CoRR (2022)
Ryoma Sato
Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. NAACL-HLT (2022)
Ryoma Sato
Towards Principled User-side Recommender Systems. CIKM (2022)
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. 2022 (2022)
Ryoma Sato
Retrieving Black-box Optimal Images from External Databases. WSDM (2022)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Random Features Strengthen Graph Neural Networks. SDM (2021)
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR (2021)
Ryoma Sato
Enumerating Fair Packages for Group Recommendations. CoRR (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. CoRR (2021)
Yuki Takezawa, Ryoma Sato, Makoto Yamada
Supervised Tree-Wasserstein Distance. ICML (2021)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Re-evaluating Word Mover's Distance. CoRR (2021)
Ryoma Sato
Retrieving Black-box Optimal Images from External Databases. CoRR (2021)
Ryoma Sato
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? CoRR (2021)
Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima
Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Random Features Strengthen Graph Neural Networks. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on Tree. CoRR (2020)
Ryoma Sato
A Survey on The Expressive Power of Graph Neural Networks. CoRR (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Fast Unbalanced Optimal Transport on a Tree. NeurIPS (2020)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Constant Time Graph Neural Networks. CoRR (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Sample Hard Instances for Graph Algorithms. ACML (2019)
Ryoma Sato, Makoto Yamada, Hisashi Kashima
Learning to Find Hard Instances of Graph Problems. CoRR (2019)
Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto
Short-Term Precipitation Prediction with Skip-Connected PredNet. ICANN (3) (2018)