Vo Nguyen Le Duy

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 29

Top Topics

Anomaly Detection

Statistical Inference

Dynamic Time Warping

Feature Selection

Top Venues

J. Mach. Learn. Res.

Publications

Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Statistical Test for Generated Hypotheses by Diffusion Models. CoRR (2024)
Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi
Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR (2024)
Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
Statistical Test for Attention Map in Vision Transformer. CoRR (2024)
Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS (2024)
Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. CoRR (2023)
Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Valid P-Value for Deep Learning-driven Salient Region. ICLR (2023)
Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR (2023)
Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Valid P-Value for Deep Learning-Driven Salient Region. CoRR (2023)
Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR (2023)
Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
Bounded P-values in Parametric Programming-based Selective Inference. CoRR (2023)
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI (2022)
Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. 34 (3) (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. 23 (2022)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR (2022)
Vo Nguyen Le Duy, Ichiro Takeuchi
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR (2021)
Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML (2021)
Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR (2021)
Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation. CoRR (2021)
Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu, Ichiro Takeuchi
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference. CoRR (2021)
Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
Fast and More Powerful Selective Inference for Sparse High-order Interaction Model. CoRR (2021)
Vo Nguyen Le Duy, Ichiro Takeuchi
Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS (2021)
Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR (2020)
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR (2020)
Vo Nguyen Le Duy, Ichiro Takeuchi
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR (2020)
Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. NeurIPS (2020)
Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR (2020)
Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. SIGSPATIAL/GIS (2019)
Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
Statistically Discriminative Sub-trajectory Mining. CoRR (2019)