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ORCIDIchiro Takeuchi
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2020 – today
- 2024
[j41]Onur Boyar, Ichiro Takeuchi:
Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration. Neural Comput. 36(11): 2446-2478 (2024)- [c62]Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-Objective Bayesian Optimization with Active Preference Learning. AAAI 2024: 14490-14498 - [c61]Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi:
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS 2024: 1828-1836 - [c60]Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi:
Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. AISTATS 2024: 4564-4572 - [c59]Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi:
Statistical Test for Attention Maps in Vision Transformers. ICML 2024 - [c58]Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi:
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. ICML 2024 - [c57]Ryoichi Koga, Mauricio Kugler
, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani:
Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP 2024: 519-527 - [i78]Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi:
Statistical Test for Attention Map in Vision Transformer. CoRR abs/2401.08169 (2024) - [i77]Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin:
Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. CoRR abs/2402.02198 (2024) - [i76]Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi:
Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR abs/2402.03724 (2024) - [i75]Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Statistical Test for Generated Hypotheses by Diffusion Models. CoRR abs/2402.11789 (2024) - [i74]Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi:
Distributionally Robust Safe Screening. CoRR abs/2404.16328 (2024) - [i73]Onur Boyar, Yanheng Gu, Yuji Tanaka, Shunsuke Tonogai, Tomoya Itakura, Ichiro Takeuchi:
Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimization. CoRR abs/2405.17881 (2024) - [i72]Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Lee Hanju, Shinya Kojima, Ichiro Takeuchi:
Distributionally Robust Safe Sample Screening. CoRR abs/2406.05964 (2024) - [i71]Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi:
Statistical Test for Data Analysis Pipeline by Selective Inference. CoRR abs/2406.18902 (2024) - [i70]Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi:
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms. CoRR abs/2408.03144 (2024) - [i69]Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu:
SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR abs/2409.12295 (2024) - [i68]Rosemary He, Ichiro Takeuchi:
Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis. CoRR abs/2410.13363 (2024) - [i67]Haotong Liang, Chuangye Wang, Heshan Yu, Dylan Kirsch, Rohit Pant, Austin McDannald, A. Gilad Kusne, Ji-Cheng Zhao, Ichiro Takeuchi:
Real-time experiment-theory closed-loop interaction for autonomous materials science. CoRR abs/2410.17430 (2024) - [i66]Tatsuya Matsukawa, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Ichiro Takeuchi:
Statistical Test for Auto Feature Engineering by Selective Inference. CoRR abs/2410.19768 (2024) - [i65]Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi:
Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design. CoRR abs/2411.01423 (2024) - [i64]Kamyar Barakati, Yu Liu, Chris Nelson, Maxim A. Ziatdinov, Xiaohang Zhang, Ichiro Takeuchi, Sergei V. Kalinin:
Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data. CoRR abs/2411.12612 (2024) - [i63]Yu Liu, Rohit Pant, Ichiro Takeuchi, R. Jackson Spurling, Jon-Paul Maria, Maxim A. Ziatdinov, Sergei V. Kalinin:
Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries. CoRR abs/2412.18067 (2024) - 2023
- [j40]Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Ken Tanaka, Yoshino Kawaguchi, Shigeo Nakamura, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi:
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. 85: 102752 (2023) - [j39]Eugène Ndiaye, Ichiro Takeuchi:
Root-finding approaches for computing conformal prediction set. Mach. Learn. 112(1): 151-176 (2023) - [j38]Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi:
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. 35(12): 1970-2005 (2023) - [j37]Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi:
Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2330-2343 (2023) - [j36]Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi:
Efficient model selection for predictive pattern mining model by safe pattern pruning. Patterns 4(12): 100890 (2023) - [c56]Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino:
A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS 2023: 6463-6497 - [c55]Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-driven Salient Region. ICLR 2023 - [c54]Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) 2023: 114-123 - [i62]Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Valid P-Value for Deep Learning-Driven Salient Region. CoRR abs/2301.02437 (2023) - [i61]Yu Inatsu, Ichiro Takeuchi:
Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments. CoRR abs/2301.11588 (2023) - [i60]Onur Boyar, Ichiro Takeuchi:
Latent Reconstruction-Aware Variational Autoencoder. CoRR abs/2302.02399 (2023) - [i59]Shota Hozumi, Kentaro Kutsukake, Kota Matsui, Shunya Kusakawa, Toru Ujihara, Ichiro Takeuchi:
Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation. CoRR abs/2304.01404 (2023) - [i58]Felix Adams, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne:
Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping. CoRR abs/2306.10406 (2023) - [i57]Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi:
Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR abs/2306.12670 (2023) - [i56]Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi:
Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning. CoRR abs/2306.13561 (2023) - [i55]Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Bounded P-values in Parametric Programming-based Selective Inference. CoRR abs/2307.11351 (2023) - [i54]Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma:
Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR abs/2310.12769 (2023) - [i53]Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi:
CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR abs/2310.14608 (2023) - [i52]Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi:
Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. CoRR abs/2311.03760 (2023) - [i51]Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shinya Suzuki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-Objective Bayesian Optimization with Active Preference Learning. CoRR abs/2311.13460 (2023) - [i50]Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi:
Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR abs/2311.14964 (2023) - [i49]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 abs/2311.16564 (2023) - 2022
- [j35]Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani:
Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. 17(7): 1379-1389 (2022) - [j34]Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. 23: 300:1-300:37 (2022) - [j33]Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama:
A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy. Neural Comput. 34(10): 2145-2203 (2022) - [j32]Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Cascade-Type Multistage Processes. Neural Comput. 34(12): 2408-2431 (2022) - [j31]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) - [c53]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 - [c52]Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Distributionally Robust Chance-constrained Problem. ICML 2022: 9602-9621 - [c51]Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi:
Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS 2022 - [i48]Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov:
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR abs/2201.00687 (2022) - [i47]Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Distributionally Robust Chance-constrained Problem. CoRR abs/2201.13112 (2022) - [i46]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) - [i45]Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, A. Gilad Kusne:
A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation. CoRR abs/2204.04187 (2022) - [i44]Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, A. Gilad Kusne:
Benchmarking Active Learning Strategies for Materials Optimization and Discovery. CoRR abs/2204.05838 (2022) - [i43]Diptesh Das, Eugène Ndiaye, Ichiro Takeuchi:
A Confidence Machine for Sparse High-Order Interaction Model. CoRR abs/2205.14317 (2022) - [i42]Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi:
Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR abs/2206.03003 (2022) - 2021
- [j30]Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Distance metric learning for graph structured data. Mach. Learn. 110(7): 1765-1811 (2021) - [j29]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. Neural Comput. 33(12): 3413-3466 (2021) - [c50]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS 2021: 901-909 - [c49]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. AISTATS 2021: 973-981 - [c48]Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi:
Active Learning for Distributionally Robust Level-Set Estimation. ICML 2021: 4574-4584 - [c47]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 - [c46]Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov:
Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC 2021: 359-366 - [i41]Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi:
Active learning for distributionally robust level-set estimation. CoRR abs/2102.04000 (2021) - [i40]Eugène Ndiaye, Ichiro Takeuchi:
Root-finding Approaches for Computing Conformal Prediction Set. CoRR abs/2104.06648 (2021) - [i39]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) - [i38]Vo Nguyen Le Duy, Ichiro Takeuchi:
More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR abs/2105.04920 (2021) - [i37]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) - [i36]Noriaki Hashimoto, Yusuke Takagi, Hiroki Masuda, Hiroaki Miyoshi, Kei Kohno, Miharu Nagaishi, Kensaku Sato, Mai Takeuchi, Takuya Furuta, Keisuke Kawamoto, Kyohei Yamada, Mayuko Moritsubo, Kanako Inoue, Yasumasa Shimasaki, Yusuke Ogura, Teppei Imamoto, Tatsuzo Mishina, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi:
Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR abs/2107.03602 (2021) - [i35]Changming Wu, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, Mo Li:
Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN). CoRR abs/2109.08622 (2021) - [i34]Vo Nguyen Le Duy, Ichiro Takeuchi:
Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR abs/2109.14206 (2021) - [i33]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) - [i32]A. Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi:
Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. CoRR abs/2111.07478 (2021) - [i31]Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi:
Bayesian Optimization for Cascade-type Multi-stage Processes. CoRR abs/2111.08330 (2021) - [i30]Eugène Ndiaye, Ichiro Takeuchi:
Continuation Path with Linear Convergence Rate. CoRR abs/2112.05104 (2021) - 2020
- [j28]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty. IEEE Access 8: 203982-203993 (2020) - [j27]Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi:
Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. Neural Comput. 32(10): 1998-2031 (2020) - [j26]Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi:
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. Neural Comput. 32(10): 2032-2068 (2020) - [j25]Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi:
Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Comput. 32(12): 2486-2531 (2020) - [c45]Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR 2020: 3851-3860 - [c44]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR 2020: 9550-9559 - [c43]Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization. ICML 2020: 9334-9345 - [c42]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 - [i29]Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi:
Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR abs/2001.01599 (2020) - [i28]Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Distance Metric Learning for Graph Structured Data. CoRR abs/2002.00727 (2020) - [i27]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) - [i26]Vo Nguyen Le Duy, Ichiro Takeuchi:
Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR abs/2004.09749 (2020) - [i25]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. CoRR abs/2006.11986 (2020) - [i24]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Mean-Variance Analysis in Bayesian Optimization under Uncertainty. CoRR abs/2009.08166 (2020) - [i23]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) - [i22]Rory P. Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi:
Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union. CoRR abs/2010.15377 (2020) - [i21]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
- [j24]Takuto Sakuma, Kazuya Nishi, Kaoru Kishimoto, Kazuya Nakagawa, Masayuki Karasuyama, Yuta Umezu, Shinsuke Kajioka, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Matasaburo Fukutomi, Hisashi Shidara, Hiroto Ogawa, Ichiro Takeuchi:
Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis. Adv. Robotics 33(3-4): 134-152 (2019) - [j23]Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Safe Triplet Screening for Distance Metric Learning. Neural Comput. 31(12): 2432-2491 (2019) - [c41]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 - [c40]Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) 2019 - [c39]Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi:
Safe Grid Search with Optimal Complexity. ICML 2019: 4771-4780 - [c38]Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. KDD 2019: 1026-1036 - [c37]Eugène Ndiaye, Ichiro Takeuchi:
Computing Full Conformal Prediction Set with Approximate Homotopy. NeurIPS 2019: 1384-1393 - [c36]Shinsuke Kajioka, Takuto Sakuma, Ichiro Takeuchi:
Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System. PerCom Workshops 2019: 706-711 - [i20]Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama:
Multi-fidelity Bayesian Optimization with Max-value Entropy Search. CoRR abs/1901.08275 (2019) - [i19]Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi:
Active learning for enumerating local minima based on Gaussian process derivatives. CoRR abs/1903.03279 (2019) - [i18]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) - [i17]Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi:
Computing Valid p-values for Image Segmentation by Selective Inference. CoRR abs/1906.00629 (2019) - [i16]Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi:
Active learning for level set estimation under cost-dependent input uncertainty. CoRR abs/1909.06064 (2019) - [i15]Eugène Ndiaye, Ichiro Takeuchi:
Computing Full Conformal Prediction Set with Approximate Homotopy. CoRR abs/1909.09365 (2019) - [i14]Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi:
Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty. CoRR abs/1910.12043 (2019) - [i13]Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi:
Bayesian Active Learning for Structured Output Design. CoRR abs/1911.03671 (2019) - 2018
- [j22]Corey Oses, Eric Gossett, David Hicks, Frisco Rose, Michael J. Mehl, Eric Perim, Ichiro Takeuchi, Stefano Sanvito, Matthias Scheffler, Yoav Lederer, Ohad Levy, Cormac Toher, Stefano Curtarolo:
AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. J. Chem. Inf. Model. 58(12): 2477-2490 (2018) - [c35]Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi:
Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. AAAI 2018: 1314-1321 - [c34]Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi:
Post Selection Inference with Kernels. AISTATS 2018: 152-160 - [c33]Takuto Sakuma, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Ichiro Takeuchi:
Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data. HCI (22) 2018: 125-138 - [c32]Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. ICLR (Workshop) 2018 - [c31]Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama:
Safe Triplet Screening for Distance Metric Learning. KDD 2018: 2653-2662 - [e1]Jun Zhu, Ichiro Takeuchi:
Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. Proceedings of Machine Learning Research 95, PMLR 2018 [contents] - [i12]Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu:
Selecting the Best in GANs Family: a Post Selection Inference Framework. CoRR abs/1802.05411 (2018) - [i11]Hiroyuki Hanada, Toshiyuki Takada, Jun Sakuma, Ichiro Takeuchi:
Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values. CoRR abs/1803.00218 (2018) - [i10]Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi:
Learning sparse optimal rule fit by safe screening. CoRR abs/1810.01683 (2018) - [i9]Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi:
Safe Grid Search with Optimal Complexity. CoRR abs/1810.05471 (2018) - 2017
- [j21]Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi:
Homotopy continuation approaches for robust SV classification and regression. Mach. Learn. 106(7): 1009-1038 (2017) - [c30]Kosuke Kusano, Ichiro Takeuchi, Jun Sakuma:
Privacy-preserving and Optimal Interval Release for Disease Susceptibility. AsiaCCS 2017: 532-545 - [c29]Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi:
Selective Inference for Sparse High-Order Interaction Models. ICML 2017: 3338-3347 - [i8]Atsushi Shibagaki, Ichiro Takeuchi:
Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations. CoRR abs/1703.07056 (2017) - 2016
- [c28]Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi:
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. ACML 2016: 126-141 - [c27]Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi:
Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling. ICML 2016: 1577-1586 - [c26]Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi:
Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. KDD 2016: 1785-1794 - [i7]Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi:
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. CoRR abs/1602.04579 (2016) - [i6]Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi:
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization. CoRR abs/1606.00136 (2016) - 2015
- [c25]Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi:
Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. KDD 2015: 885-894 - [c24]Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi:
Regularization Path of Cross-Validation Error Lower Bounds. NIPS 2015: 1675-1683 - [i5]Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi:
Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems. CoRR abs/1504.02870 (2015) - [i4]Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi:
Homotopy Continuation Approaches for Robust SV Classification and Regression. CoRR abs/1507.03229 (2015) - 2014
- [j20]Naoki Isu, Takuya Hasegawa, Ichiro Takeuchi, Akihiro Morimoto:
Quantitative analysis of time-course development of motion sickness caused by in-vehicle video watching. Displays 35(2): 90-97 (2014) - [c23]Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi:
Outlier Path: A Homotopy Algorithm for Robust SVM. ICML 2014: 1098-1106 - 2013
- [j19]David duVerle, Ichiro Takeuchi, Yuko Murakami-Tonami, Kenji Kadomatsu, Koji Tsuda:
Discovering combinatorial interactions in survival data. Bioinform. 29(23): 3053-3059 (2013) - [j18]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. Neural Comput. 25(10): 2734-2775 (2013) - [c22]Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama:
Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines. ICML (3) 2013: 897-905 - [c21]Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi:
Safe Screening of Non-Support Vectors in Pathwise SVM Computation. ICML (3) 2013: 1382-1390 - [c20]Hideo Fujita, Yuji Uchimura, Kayo Waki, Koji Omae, Ichiro Takeuchi, Kazuhiko Ohe:
Development and Clinical Study of Mobile 12-Lead Electrocardiography Based on Cloud Computing for Cardiac Emergency. MedInfo 2013: 1077 - [c19]Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama, Shinichi Nakajima:
Parametric Task Learning. NIPS 2013: 1358-1366 - [c18]Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi:
Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering. NIPS 2013: 1439-1447 - 2012
- [j17]Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi:
Multi-parametric solution-path algorithm for instance-weighted support vector machines. Mach. Learn. 88(3): 297-330 (2012) - [c17]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. NIPS 2012: 692-700 - [i3]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi:
Density-Difference Estimation. CoRR abs/1207.0099 (2012) - 2011
- [j16]Masayuki Karasuyama, Ichiro Takeuchi:
Nonlinear Regularization Path for Quadratic Loss Support Vector Machines. IEEE Trans. Neural Networks 22(10): 1613-1625 (2011) - [c16]Masayuki Karasuyama, Ichiro Takeuchi:
Suboptimal Solution Path Algorithm for Support Vector Machine. ICML 2011: 473-480 - [c15]Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi:
Multi-parametric solution-path algorithm for instance-weighted support vector machines. MLSP 2011: 1-6 - [c14]Ichiro Takeuchi, Masashi Sugiyama:
Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification. NIPS 2011: 576-584 - [i2]Masayuki Karasuyama, Ichiro Takeuchi:
Suboptimal Solution Path Algorithm for Support Vector Machine. CoRR abs/1105.0471 (2011) - 2010
- [j15]Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara:
Least-Squares Conditional Density Estimation. IEICE Trans. Inf. Syst. 93-D(3): 583-594 (2010) - [j14]Yuta Ishikawa, Ichiro Takeuchi:
Differentially Aberrant Region Detection in Array CGH Data Based on Nearest Neighbor Classification Performance. Inf. Media Technol. 5(4): 1266-1277 (2010) - [j13]Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method. Neural Networks 23(3): 356-364 (2010) - [j12]Masayuki Karasuyama, Ichiro Takeuchi:
Multiple incremental decremental learning of support vector machines. IEEE Trans. Neural Networks 21(7): 1048-1059 (2010) - [c13]Yuta Ishikawa, Ichiro Takeuchi:
Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test. IJCNN 2010: 1-8 - [c12]Masayuki Karasuyama, Ichiro Takeuchi:
Nonlinear regularization path for the modified Huber loss Support Vector Machines. IJCNN 2010: 1-8 - [c11]Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara:
Conditional Density Estimation via Least-Squares Density Ratio Estimation. AISTATS 2010: 781-788 - [i1]Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi:
Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines. CoRR abs/1009.4791 (2010)
2000 – 2009
- 2009
- [j11]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. Inf. Media Technol. 4(4): 962-987 (2009) - [j10]Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang:
A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. 1: 183-208 (2009) - [j9]Hiroyuki Moriguchi, Ichiro Takeuchi, Masayuki Karasuyama, Shin-ichi Horikawa, Yoshikatsu Ohta, Tetsuji Kodama, Hiroshi Naruse:
Adaptive Kernel Quantile Regression for Anomaly Detection. J. Adv. Comput. Intell. Intell. Informatics 13(3): 230-236 (2009) - [j8]Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori:
Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression. Neural Comput. 21(2): 533-559 (2009) - [j7]Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano:
Efficient Leave-m-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm. New Gener. Comput. 27(4): 307-318 (2009) - [c10]Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. ICONIP (1) 2009: 159-166 - [c9]Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano:
A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. ICONIP (1) 2009: 167-174 - [c8]Masayuki Karasuyama, Ichiro Takeuchi:
Multiple Incremental Decremental Learning of Support Vector Machines. NIPS 2009: 907-915 - 2008
- [c7]Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano:
Reducing SVR Support Vectors by Using Backward Deletion. KES (3) 2008: 76-83 - 2006
- [j6]Takafumi Kanamori, Ichiro Takeuchi:
Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions. Comput. Stat. Data Anal. 50(12): 3605-3618 (2006) - [j5]Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexander J. Smola:
Nonparametric Quantile Estimation. J. Mach. Learn. Res. 7: 1231-1264 (2006) - [c6]Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori:
The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. IJCNN 2006: 153-158 - 2004
- [c5]Ichiro Takeuchi, Takeshi Furuhashi:
Non-crossing quantile regressions by SVM. IJCNN 2004 - 2003
- [j4]Yutaka Hirata, Ichiro Takeuchi, Stephen M. Highstein:
A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate. Neurocomputing 52-54: 531-540 (2003) - [c4]Ichiro Takeuchi, Noriyuki Yamanaka, Takeshi Furuhashi:
Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles. IJCNN 2003: 1729-1734 - 2002
- [j3]Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori:
Robust Regression with Asymmetric Heavy-Tail Noise Distributions. Neural Comput. 14(10): 2469-2496 (2002) - 2001
- [c3]Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng:
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS 2001: 1369-1376 - 2000
- [j2]Ichiro Takeuchi, Takeshi Furuhashi:
A description of dynamic behavior of sensory/motor systems with fuzzy symbolic dynamic systems. Artif. Life Robotics 4(2): 84-88 (2000)
1990 – 1999
- 1998
- [c2]Ichiro Takeuchi, Takeshi Furuhashi:
A proposal of architecture for intelligent systems with manipulative grounded symbols. KES (1) 1998: 325-330 - 1997
- [j1]Ichiro Takeuchi, Takeshi Furuhashi:
Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing. Adv. Robotics 12(3): 271-287 (1997) - 1996
- [c1]Ichiro Takeuchi, Takeshi Furuhashi:
An Inference Method Using Multiple Patterns and Modification of Pattern Space. SEAL 1996: 187-195
Coauthor Index
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