Vo Nguyen Le Duy
Orcid: 0000-0002-9811-0093
According to our database1,
Vo Nguyen Le Duy
authored at least 24 papers
between 2019 and 2024.
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Bibliography
2024
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball.
CoRR, 2023
CoRR, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction.
IEEE Trans. Knowl. Data Eng., 2022
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.
J. Mach. Learn. Res., 2022
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference.
CoRR, 2022
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.
CoRR, 2021
CoRR, 2021
Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.
CoRR, 2021
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method.
Proceedings of the 38th International Conference on Machine Learning, 2021
Parametric Programming Approach for More Powerful and General Lasso Selective Inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach.
CoRR, 2020
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference.
CoRR, 2020
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs.
CoRR, 2020
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2019
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019