Ryoma Sato - RankMe

64 papers A* 8A 8C 1Journal 44Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Even GPT-5.2 Can't Count to Five: The Case for Zero-Error Horizons in Trustworthy LLMs. CoRR Ryoma Sato
2025	J	`jnl`	Fast EXP3 Algorithms. CoRR Ryoma Sato, Shinji Ito
2025	J	`jnl`	Influential Bandits: Pulling an Arm May Change the Environment. CoRR Ryoma Sato, Shinji Ito
2025	J	`jnl`	Influential Bandits: Pulling an Arm May Change the Environment. Trans. Mach. Learn. Res. Ryoma Sato, Shinji Ito
2025	J	`jnl`	Interestingness First Classifiers. CoRR Ryoma Sato
2025	J	`jnl`	Necessary and Sufficient Watermark for Large Language Models. Trans. Mach. Learn. Res. Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2025	J	`jnl`	Solving the Cold Start Problem on One's Own as an End User via Preference Transfer. CoRR Ryoma Sato
2025	J	`jnl`	Solving the Cold Start Problem on One's Own as an End User via Preference Transfer. Trans. Mach. Learn. Res. Ryoma Sato
2024	J	`jnl`	Making Translators Privacy-aware on the User's Side. Trans. Mach. Learn. Res. Ryoma Sato
2024	J	`jnl`	Overhead-free User-side Recommender Systems. CoRR Ryoma Sato
2024	A*	`conf`	Parameter-free Clipped Gradient Descent Meets Polyak. NeurIPS Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
2024	J	`jnl`	Polyak Meets Parameter-free Clipped Gradient Descent. CoRR Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
2024	J	`jnl`	Training-free Graph Neural Networks and the Power of Labels as Features. CoRR Ryoma Sato
2024	J	`jnl`	Training-free Graph Neural Networks and the Power of Labels as Features. Trans. Mach. Learn. Res. Ryoma Sato
2024	J	`jnl`	User-Side Realization. CoRR Ryoma Sato
2023	A*	`conf`	Active Learning from the Web. WWW Ryoma Sato
2023	A*	`conf`	Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. NeurIPS Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence. CoRR Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2023	J	`jnl`	Embarrassingly Simple Text Watermarks. CoRR Ryoma Sato, Yuki Takezawa, Han Bao, Kenta Niwa, Makoto Yamada
2023	A*	`conf`	Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. ICML Ryoma Sato
2023	J	`jnl`	Graph Neural Networks can Recover the Hidden Features Solely from the Graph Structure. CoRR Ryoma Sato
2023	J	`jnl`	Making Translators Privacy-aware on the User's Side. CoRR Ryoma Sato
2023	J	`jnl`	Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. Trans. Mach. Learn. Res. Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
2023	J	`jnl`	Necessary and Sufficient Watermark for Large Language Models. CoRR Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
2022	J	`jnl`	Active Learning from the Web. CoRR Ryoma Sato
2022	J	`jnl`	Approximating 1-Wasserstein Distance with Trees. CoRR Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
2022	J	`jnl`	Approximating 1-Wasserstein Distance with Trees. Trans. Mach. Learn. Res. Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
2022	A	`conf`	CLEAR: A Fully User-side Image Search System. CIKM Ryoma Sato
2022	J	`jnl`	CLEAR: A Fully User-side Image Search System. CoRR Ryoma Sato
2022	J	`jnl`	Constant Time Graph Neural Networks. ACM Trans. Knowl. Discov. Data Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	A	`conf`	Enumerating Fair Packages for Group Recommendations. WSDM Ryoma Sato
2022	—	`conf`	Feature-Robust Optimal Transport for High-Dimensional Data. ECML/PKDD (5) Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
2022	A	`conf`	Fixed Support Tree-Sliced Wasserstein Barycenter. AISTATS Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
2022	J	`jnl`	Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data. CoRR Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
2022	J	`jnl`	Poincare: Recommending Publication Venues via Treatment Effect Estimation. J. Informetrics Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	A	`conf`	Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? SDM Ryoma Sato
2022	A*	`conf`	Re-evaluating Word Mover's Distance. ICML Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	A	`conf`	Retrieving Black-box Optimal Images from External Databases. WSDM Ryoma Sato
2022	A	`conf`	Towards Principled User-side Recommender Systems. CIKM Ryoma Sato
2022	J	`jnl`	Towards Principled User-side Recommender Systems. CoRR Ryoma Sato
2022	A	`conf`	Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CIKM Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	J	`jnl`	Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2022	—	`conf`	Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. NAACL-HLT Ryoma Sato
2022	J	`jnl`	Word Tour: One-dimensional Word Embeddings via the Traveling Salesman Problem. CoRR Ryoma Sato
2021	J	`jnl`	Enumerating Fair Packages for Group Recommendations. CoRR Ryoma Sato
2021	J	`jnl`	Fixed Support Tree-Sliced Wasserstein Barycenter. CoRR Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
2021	J	`jnl`	Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data? CoRR Ryoma Sato
2021	A	`conf`	Random Features Strengthen Graph Neural Networks. SDM Ryoma Sato, Makoto Yamada, Hisashi Kashima
2021	J	`jnl`	Re-evaluating Word Mover's Distance. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2021	J	`jnl`	Retrieving Black-box Optimal Images from External Databases. CoRR Ryoma Sato
2021	A*	`conf`	Supervised Tree-Wasserstein Distance. ICML Yuki Takezawa, Ryoma Sato, Makoto Yamada
2021	J	`jnl`	Supervised Tree-Wasserstein Distance. CoRR Yuki Takezawa, Ryoma Sato, Makoto Yamada
2020	J	`jnl`	A Survey on The Expressive Power of Graph Neural Networks. CoRR Ryoma Sato
2020	J	`jnl`	Fast Unbalanced Optimal Transport on Tree. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	A*	`conf`	Fast Unbalanced Optimal Transport on a Tree. NeurIPS Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Fast and Robust Comparison of Probability Measures in Heterogeneous Spaces. CoRR Ryoma Sato, Marco Cuturi, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Poincare: Recommending Publication Venues via Treatment Effect Estimation. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2020	J	`jnl`	Random Features Strengthen Graph Neural Networks. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	A*	`conf`	Approximation Ratios of Graph Neural Networks for Combinatorial Problems. NeurIPS Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	Approximation Ratios of Graph Neural Networks for Combinatorial Problems. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	Constant Time Graph Neural Networks. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	J	`jnl`	Learning to Find Hard Instances of Graph Problems. CoRR Ryoma Sato, Makoto Yamada, Hisashi Kashima
2019	C	`conf`	Learning to Sample Hard Instances for Graph Algorithms. ACML Ryoma Sato, Makoto Yamada, Hisashi Kashima
2018	—	`conf`	Short-Term Precipitation Prediction with Skip-Connected PredNet. ICANN (3) Ryoma Sato, Hisashi Kashima, Takehiro Yamamoto