Takezawa, Yuki

13 publications

TMLR 2025 A Bias Correction Mechanism for Distributed Asynchronous Optimization Yuan Gao, Yuki Takezawa, Sebastian U Stich

NeurIPS 2025 Any-Stepsize Gradient Descent for Separable Data Under Fenchel–Young Losses Han Bao, Shinsaku Sakaue, Yuki Takezawa

ICML 2025 Exploiting Similarity for Computation and Communication-Efficient Decentralized Optimization Yuki Takezawa, Xiaowen Jiang, Anton Rodomanov, Sebastian U Stich

TMLR 2025 Necessary and Sufficient Watermark for Large Language Models Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada

ICLR 2025 PhiNets: Brain-Inspired Non-Contrastive Learning Based on Temporal Prediction Hypothesis Satoki Ishikawa, Makoto Yamada, Han Bao, Yuki Takezawa

NeurIPS 2025 Revisiting 1-Peer Exponential Graph for Enhancing Decentralized Learning Efficiency Kenta Niwa, Yuki Takezawa, Guoqiang Zhang, W. Bastiaan Kleijn

ICLR 2025 Scalable Decentralized Learning with Teleportation Yuki Takezawa, Sebastian U Stich

NeurIPS 2024 Parameter-Free Clipped Gradient Descent Meets Polyak Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada

NeurIPS 2023 Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-Time Convergence Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada

TMLR 2023 Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada

AISTATS 2022 Fixed Support Tree-Sliced Wasserstein Barycenter Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada

TMLR 2022 Approximating 1-Wasserstein Distance with Trees Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi

ICML 2021 Supervised Tree-Wasserstein Distance Yuki Takezawa, Ryoma Sato, Makoto Yamada