| 2025 | AISTATS | Statistical Inference for Feature Selection after Optimal Transport-based Domain Adaptation. | Nguyen Thang Loi, Duong Tan Loc, Vo Nguyen Le Duy |
| 2024 | AISTATS | CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. | Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi |
| 2024 | ICML | Statistical Test for Attention Maps in Vision Transformers. | Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi |
| 2024 | UCC | CloudResilienceML: Ensuring Robustness of Machine Learning Models in Dynamic Cloud Systems. | Chanh Nguyen, Lidia Kidane, Vo Nguyen Le Duy, Erik Elmroth |
| 2023 | ICLR | Valid P-Value for Deep Learning-driven Salient Region. | Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi |
| 2022 | AAAI | Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. | Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi |
| 2021 | AISTATS | Parametric Programming Approach for More Powerful and General Lasso Selective Inference. | Vo Nguyen Le Duy, Ichiro Takeuchi |
| 2021 | ICML | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. | Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi |