| 2025 | WSC | Cross-Process Defect Attribution Using Potential Loss Analysis. | Tsuyoshi Id, Kohei Miyaguchi |
| 2023 | ICML | Biases in Evaluation of Molecular Optimization Methods and Bias Reduction Strategies. | Hiroshi Kajino, Kohei Miyaguchi, Takayuki Osogami |
| 2022 | ICLR | Variational Inference for Discriminative Learning with Generative Modeling of Feature Incompletion. | Kohei Miyaguchi, Takayuki Katsuki, Akira Koseki, Toshiya Iwamori |
| 2022 | IJCAI | Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction. | Takayuki Katsuki, Kohei Miyaguchi, Akira Koseki, Toshiya Iwamori, Ryosuke Yanagiya, Atsushi Suzuki |
| 2019 | AAAI | Cogra: Concept-Drift-Aware Stochastic Gradient Descent for Time-Series Forecasting. | Kohei Miyaguchi, Hiroshi Kajino |
| 2019 | AISTATS | Adaptive Minimax Regret against Smooth Logarithmic Losses over High-Dimensional l1-Balls via Envelope Complexity. | Kohei Miyaguchi, Kenji Yamanishi |
| 2017 | SDM | Sparse Graphical Modeling via Stochastic Complexity. | Kohei Miyaguchi, Shin Matsushima, Kenji Yamanishi |
| 2016 | ICDM | Structure Selection for Convolutive Non-negative Matrix Factorization Using Normalized Maximum Likelihood Coding. | Atsushi Suzuki, Kohei Miyaguchi, Kenji Yamanishi |
| 2015 | DSAA | On-line detection of continuous changes in stochastic processes. | Kohei Miyaguchi, Kenji Yamanishi |