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Taiji Suzuki

University of Tokyo
Tokyo Institute of Technology
National Presto Industries

259

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4069

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Convex Analysis of the Mean Field Langevin Dynamics.

2022 AISTATS | International Conference on Artificial Intelligence and Statistics
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Deep two-way matrix reordering for relational data analysis

2022 Neural Networks
- Chihiro Watanabe
- Taiji Suzuki
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Improved Convergence Rate of Stochastic Gradient Langevin Dynamics with Variance Reduction and its Application to Optimization.

2022 CoRR
- Yuri Kinoshita
- Taiji Suzuki
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation.

2022 CoRR
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Escaping Saddle Points with Bias-Variance Reduced Local Perturbed SGD for Communication Efficient Nonconvex Distributed Learning.

2022 CoRR
- Tomoya Murata
- Taiji Suzuki
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Gradient Descent in RKHS with Importance Labeling

2021 AISTATS | International Conference on Artificial Intelligence and Statistics
- Tomoya Murata
- Taiji Suzuki
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Bayesian optimization for estimating the maximum tolerated dose in Phase I clinical trials.

2021 Contemporary clinical trials communications
- Ami Takahashi
- Taiji Suzuki
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Bayesian optimization design for finding a maximum tolerated dose combination in phase I clinical trials.

2021 The International Journal of Biostatistics
- Ami Takahashi
- Taiji Suzuki
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Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis

2021 | Annual Conference on Neural Information Processing Systems
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On Learnability via Gradient Method for Two-Layer ReLU Neural Networks in Teacher-Student Setting

2021 arXiv: Machine Learning
- Shunta Akiyama
- Taiji Suzuki
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Citations (2)