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2020 – today
- 2023
[i12]Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-Driven Salient Region. CoRR abs/2301.02437 (2023)- 2022
- [j1]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): 1477-1488 (2022) - [c6]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: 9999-10007 - [c5]Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi:
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS 2022 - [i11]Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR abs/2202.06593 (2022) - 2021
- [c4]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS 2021: 901-909 - [c3]Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML 2021: 9891-9901 - [i10]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 abs/2104.10840 (2021) - [i9]Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR abs/2105.04920 (2021) - [i8]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 abs/2106.04929 (2021) - [i7]Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR abs/2109.14206 (2021) - [i6]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 abs/2110.08989 (2021) - 2020
- [c2]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 - [i5]Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi:
Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR abs/2002.09132 (2020) - [i4]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR abs/2004.09749 (2020) - [i3]Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi:
Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR abs/2010.01823 (2020) - [i2]Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR abs/2012.13545 (2020)
2010 – 2019
- 2019
- [c1]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: 548-551 - [i1]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 abs/1905.01788 (2019)
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last updated on 2023-05-12 21:05 CEST by the dblp team
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