Yuki Takezawa

I’m Yuki Takezawa (竹澤祐貴), a 2nd year Ph.D. student at Kashima Laboratory, Kyoto University. I’m also working as a visiting research student at Yamada Unit, Okinawa Institute of Science and Technology.

Research interests: Machine Learning, Optimization, Optimal Transport.

contact: yuki-takezawa at ml.ist.i.kyoto-u.ac.jp

Publications

Yuki Takezawa, Han Bao, Ryoma Sato, Kenta Niwa, Makoto Yamada
“Parameter-free Clipped Gradient Descent Meets Polyak”
Neural Information Processing Systems (NeurIPS) 2024
[poster]
Cléa Laouar, Yuki Takezawa, Makoto Yamada
“Large-scale Similarity Search with Optimal Transport”
Empirical Methods in Natural Language Processing (EMNLP) 2023
Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
“Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence”
Neural Information Processing Systems (NeurIPS) 2023
[slides][poster][code]
Kazutoshi Shinoda, Yuki Takezawa, Masahiro Suzuki, Yusuke Iwasawa, Yutaka Matsuo
“Improving the Robustness to Variations of Objects and Instructions with A Neuro-Symbolic Approach for Interactive Instruction Following”
International Conference on Multimedia Modeling 2023
[poster]
Yuki Takezawa, Ryoma Sato, Zornitsa Kozareva, Sujith Ravi, Makoto Yamada
“Fixed Support Tree-Sliced Wasserstein Barycenter”
International Conference on Artificial Intelligence and Statistics (AISTATS) 2022
[poster][code]
Yuki Takezawa, Ryoma Sato, Makoto Yamada
“Supervised Tree-Wasserstein Distance”
International Conference on Machine Learning (ICML) 2021
[poster][code]

Makoto Yamada, Yuki Takezawa, Guillaume Houry, Kira Michaela Dusterwald, Deborah Sulem, Han Zhao, Yao-Hung Hubert Tsai
“An Empirical Study of Simplicial Representation Learning with Wasserstein Distance”
Entropy 2024
Iifan Tyou, Tomoya Murata, Takumi Fukami, Yuki Takezawa, Kenta Niwa
“A Localized Primal-Dual Method for Centralized/Decentralized Federated Learning Robust to Data Heterogeneity”
IEEE Transactions on Signal and Information Processing over Networks 2023
Yuki Takezawa, Han Bao, Kenta Niwa, Ryoma Sato, Makoto Yamada
“Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data”
Transactions on Machine Learning Research 2023
Yuki Takezawa, Kenta Niwa, Makoto Yamada
“Communication Compression for Decentralized Learning with Operator Splitting Methods”
IEEE Transactions on Signal and Information Processing over Networks 2023
Makoto Yamada, Yuki Takezawa, Ryoma Sato, Han Bao, Zornitsa Kozareva, Sujith Ravi
“Approximating 1-Wasserstein Distance with Trees”
Transactions on Machine Learning Research 2022

Research Internship, CISPA Helmholtz Center for Information Security, Apr./2024-Jul./2024
Visiting Research Student, Okinawa Institute of Science and Technology, Apr./2022-Present
Research Assistant, Kyoto University, Apr./2021-Mar./2023
Research Assistant, RIKEN AIP, Apr./2021-Mar./2023
Research Internship, NTT Comunication Science Laboratories, Aug./2021-Sep./2021
Research Internship, The University of Tokyo, Matsuo Laboratory, 2020

Kyoto University (Ph.D. course), Graduate School of Informatics, Apr./2023-Present
Kyoto University (Master course), Graduate School of Informatics, Apr./2021-Mar./2023
Kyoto University (Bachelor course), Undergraduate School of Informatics and Mathematical Science, Apr./2017-Mar./2021

Nov./12-Feb./7, CISPA Helmholtz Center for Information Security (Saarland, Germany)
Dec./9-Dec./15, NeurIPS 2024 (Vancouver, Canada)
Mar./3-Mar./5 (TBD), OIST ML Workshop 2024 (Okinawa, Japan)