Sakurai, Tetsuya

7 publications

AISTATS 2025 Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka

MLJ 2024 Moreau-Yoshida Variational Transport: A General Framework for Solving Regularized Distributional Optimization Problems Dai Hai Nguyen, Tetsuya Sakurai

MLJ 2023 Mirror Variational Transport: A Particle-Based Algorithm for Distributional Optimization on Constrained Domains Dai Hai Nguyen, Tetsuya Sakurai

ACML 2021 Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Akira Imakura, Xiucai Ye, Tetsuya Sakurai

AAAI 2019 Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai

IJCAI 2019 Distributed Collaborative Feature Selection Based on Intermediate Representation Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai

IJCAI 2018 Spectral Feature Scaling Method for Supervised Dimensionality Reduction Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai