Ichiro Takeuchi

214 papers A* 27A 9B 5C 2Journal 145Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Quantum Kernel Machine Learning for Autonomous Materials Science. CoRR Felix Adams, Daiwei Zhu, David W. Steuerman, Aaron Gilad Kusne, Ichiro Takeuchi
2026	J	`jnl`	Randomized Kriging Believer for Parallel Bayesian Optimization with Regret Bounds. CoRR Shuhei Sugiura, Ichiro Takeuchi, Shion Takeno
2026	J	`jnl`	Safe Distributionally Robust Feature Selection under Covariate Shift. CoRR Hiroyuki Hanada, Satoshi Akahane, Noriaki Hashimoto, Shion Takeno, Ichiro Takeuchi
2026	J	`jnl`	Statistical Testing Framework for Clustering Pipelines by Selective Inference. CoRR Yugo Miyata, Tomohiro Shiraishi, Shunichi Nishino, Ichiro Takeuchi
2026	A*	`conf`	Statistically Robust Sparse High-order Interaction Model. AAAI Diptesh Das, Ichiro Takeuchi, Koji Tsuda
2025	J	`jnl`	AI-Accelerated Electronic Materials Discovery and Development. Computer Christopher C. Price, Ichiro Takeuchi, James M. Rondinelli, Wei Chen, Christopher L. Hinkle
2025	—	`conf`	Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. KDD (2) Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama
2025	J	`jnl`	Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. CoRR Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama
2025	J	`jnl`	Causal Discovery from Data Assisted by Large Language Models. CoRR Kamyar Barakati, Alexander Molak, Chris Nelson, Xiaohang Zhang, Ichiro Takeuchi, Sergei V. Kalinin
2025	J	`jnl`	Change Point Detection in the Frequency Domain with Statistical Reliability. Trans. Mach. Learn. Res. Akifumi Yamada, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Kouichi Taji, Ichiro Takeuchi
2025	J	`jnl`	Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design. Trans. Mach. Learn. Res. Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi
2025	J	`jnl`	Crystal-LSBO: Automated Design of De Novo Crystals With Latent Space Bayesian Optimization. Neural Comput. Onur Boyar, Yanheng Gu, Yuji Tanaka, Shunsuke Tonogai, Tomoya Itakura, Ichiro Takeuchi
2025	A*	`conf`	Distributionally Robust Active Learning for Gaussian Process Regression. ICML Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Active Learning for Gaussian Process Regression. CoRR Shion Takeno, Yoshito Okura, Yu Inatsu, Tatsuya Aoyama, Tomonari Tanaka, Satoshi Akahane, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Coreset Selection under Covariate Shift. CoRR Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Tatsuya Aoyama, Yu Inatsu, Satoshi Akahane, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Distributionally Robust Coreset Selection under Covariate Shift. Trans. Mach. Learn. Res. Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Tatsuya Aoyama, Yu Inatsu, Satoshi Akahane, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	—	`conf`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. MICCAI (12) Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	J	`jnl`	Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. CoRR Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma
2025	J	`jnl`	Generalized Kernel Inducing Points by Duality Gap for Dataset Distillation. CoRR Tatsuya Aoyama, Hanting Yang, Hiroyuki Hanada, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2025	J	`jnl`	Multi-Scale Representation of Follicular Lymphoma Pathology Images in a Single Hyperbolic Space. CoRR Kei Taguchi, Kazumasa Ohara, Tatsuya Yokota, Hiroaki Miyoshi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
2025	J	`jnl`	Rapid analysis of point-contact Andreev reflection spectra via machine learning with adaptive data augmentation. CoRR Dongik Lee, Valentin G. Stanev, Xiaohang Zhang, Mijeong Kang, Ichiro Takeuchi, Seunghun Lee
2025	J	`jnl`	Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2025	J	`jnl`	Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization. Trans. Mach. Learn. Res. Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2025	A	`conf`	Statistical Test for Auto Feature Engineering by Selective Inference. AISTATS Tatsuya Matsukawa, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Ichiro Takeuchi
2025	A*	`conf`	Statistical Test for Feature Selection Pipelines by Selective Inference. ICML Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi
2025	J	`jnl`	Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference. CoRR Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi
2025	J	`jnl`	Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference. Trans. Mach. Learn. Res. Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi
2025	J	`jnl`	Statistically Significant CoRR Mizuki Niihori, Teruyuki Katsuoka, Tomohiro Shiraishi, Shuichi Nishino, Ichiro Takeuchi
2025	J	`jnl`	Time Series Anomaly Detection in the Frequency Domain with Statistical Reliability. CoRR Akifumi Yamada, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Kouichi Taji, Ichiro Takeuchi
2025	J	`jnl`	si4onnx: A Python package for Selective Inference in Deep Learning Models. CoRR Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Shuichi Nishino, Ichiro Takeuchi
2024	J	`jnl`	Active Learning for Level Set Estimation Using Randomized Straddle Algorithms. CoRR Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi
2024	J	`jnl`	Active Learning for Level Set Estimation Using Randomized Straddle Algorithms. Trans. Mach. Learn. Res. Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi
2024	J	`jnl`	Automated Materials Discovery Platform Realized: Scanning Probe Microscopy of Combinatorial Libraries. CoRR Yu Liu, Rohit Pant, Ichiro Takeuchi, R. Jackson Spurling, Jon-Paul Maria, Maxim A. Ziatdinov, Sergei V. Kalinin
2024	A	`conf`	Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. AISTATS Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi
2024	A	`conf`	CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. AISTATS Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
2024	J	`jnl`	Co-orchestration of Multiple Instruments to Uncover Structure-Property Relationships in Combinatorial Libraries. CoRR Boris N. Slautin, Utkarsh Pratiush, Ilia N. Ivanov, Yongtao Liu, Rohit Pant, Xiaohang Zhang, Ichiro Takeuchi, Maxim A. Ziatdinov, Sergei V. Kalinin
2024	J	`jnl`	Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design. CoRR Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi
2024	J	`jnl`	Crystal-LSBO: Automated Design of De Novo Crystals with Latent Space Bayesian Optimization. CoRR Onur Boyar, Yanheng Gu, Yuji Tanaka, Shunsuke Tonogai, Tomoya Itakura, Ichiro Takeuchi
2024	J	`jnl`	Distributionally Robust Safe Sample Screening. CoRR Hiroyuki Hanada, Tatsuya Aoyama, Satoshi Akahane, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Shion Takeno, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2024	J	`jnl`	Distributionally Robust Safe Screening. CoRR Hiroyuki Hanada, Satoshi Akahane, Tatsuya Aoyama, Tomonari Tanaka, Yoshito Okura, Yu Inatsu, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi
2024	J	`jnl`	Latent Space Bayesian Optimization With Latent Data Augmentation for Enhanced Exploration. Neural Comput. Onur Boyar, Ichiro Takeuchi
2024	—	`conf`	Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. VISIGRAPP (2): VISAPP Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani
2024	A*	`conf`	Multi-Objective Bayesian Optimization with Active Preference Learning. AAAI Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2024	A*	`conf`	Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. ICML Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2024	J	`jnl`	Real-time experiment-theory closed-loop interaction for autonomous materials science. CoRR Haotong Liang, Chuangye Wang, Heshan Yu, Dylan Kirsch, Rohit Pant, Austin McDannald, Aaron Gilad Kusne, Ji-Cheng Zhao, Ichiro Takeuchi
2024	J	`jnl`	Reward driven workflows for unsupervised explainable analysis of phases and ferroic variants from atomically resolved imaging data. CoRR Kamyar Barakati, Yu Liu, Chris Nelson, Maxim A. Ziatdinov, Xiaohang Zhang, Ichiro Takeuchi, Sergei V. Kalinin
2024	J	`jnl`	SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions. CoRR Arpan Biswas, Rama K. Vasudevan, Rohit Pant, Ichiro Takeuchi, Hiroshi Funakubo, Yongtao Liu
2024	J	`jnl`	Selective Inference for Change Point Detection by Recurrent Neural Network. Neural Comput. Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Anomaly Detections by Variational Auto-Encoders. CoRR Daiki Miwa, Tomohiro Shiraishi, Vo Nguyen Le Duy, Teruyuki Katsuoka, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Attention Map in Vision Transformer. CoRR Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
2024	A*	`conf`	Statistical Test for Attention Maps in Vision Transformers. ICML Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Auto Feature Engineering by Selective Inference. CoRR Tatsuya Matsukawa, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Data Analysis Pipeline by Selective Inference. CoRR Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi
2024	J	`jnl`	Statistical Test for Generated Hypotheses by Diffusion Models. CoRR Teruyuki Katsuoka, Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2024	J	`jnl`	Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis. CoRR Rosemary He, Ichiro Takeuchi
2023	A	`conf`	A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. AISTATS Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino
2023	J	`jnl`	Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation. CoRR Shota Hozumi, Kentaro Kutsukake, Kota Matsui, Shunya Kusakawa, Toru Ujihara, Ichiro Takeuchi
2023	J	`jnl`	Bounded P-values in Parametric Programming-based Selective Inference. CoRR Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	J	`jnl`	CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. CoRR Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi
2023	J	`jnl`	Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. Medical Image Anal. 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
2023	J	`jnl`	Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments. CoRR Yu Inatsu, Ichiro Takeuchi
2023	J	`jnl`	Efficient Model Selection for Predictive Pattern Mining Model by Safe Pattern Pruning. CoRR Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
2023	J	`jnl`	Efficient model selection for predictive pattern mining model by safe pattern pruning. Patterns Takumi Yoshida, Hiroyuki Hanada, Kazuya Nakagawa, Kouichi Taji, Koji Tsuda, Ichiro Takeuchi
2023	J	`jnl`	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. CoRR Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
2023	J	`jnl`	Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications. Neural Comput. Hiroyuki Hanada, Noriaki Hashimoto, Kouichi Taji, Ichiro Takeuchi
2023	J	`jnl`	Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping. CoRR Felix Adams, Austin McDannald, Ichiro Takeuchi, Aaron Gilad Kusne
2023	J	`jnl`	Latent Reconstruction-Aware Variational Autoencoder. CoRR Onur Boyar, Ichiro Takeuchi
2023	—	`conf`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. MLMI@MICCAI (2) Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2023	J	`jnl`	Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping. CoRR Joshua Butke, Noriaki Hashimoto, Ichiro Takeuchi, Hiroaki Miyoshi, Koichi Ohshima, Jun Sakuma
2023	J	`jnl`	Multi-Objective Bayesian Optimization with Active Preference Learning. CoRR Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shinya Suzuki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama
2023	J	`jnl`	Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball. CoRR Rory P. Bunker, Vo Nguyen Le Duy, Yasuo Tabei, Ichiro Takeuchi, Keisuke Fujii
2023	J	`jnl`	Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. CoRR Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi
2023	J	`jnl`	Root-finding approaches for computing conformal prediction set. Mach. Learn. Eugène Ndiaye, Ichiro Takeuchi
2023	J	`jnl`	Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening. IEEE Trans. Pattern Anal. Mach. Intell. Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
2023	J	`jnl`	Selective Inference for Changepoint detection by Recurrent Neural Network. CoRR Tomohiro Shiraishi, Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	J	`jnl`	Valid P-Value for Deep Learning-Driven Salient Region. CoRR Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2023	A*	`conf`	Valid P-Value for Deep Learning-driven Salient Region. ICLR Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi
2022	J	`jnl`	A Confidence Machine for Sparse High-Order Interaction Model. CoRR Diptesh Das, Eugène Ndiaye, Ichiro Takeuchi
2022	J	`jnl`	A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy. Neural Comput. Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2022	J	`jnl`	A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation. CoRR Logan Saar, Haotong Liang, Alex Wang, Austin McDannald, Efrain Rodriguez, Ichiro Takeuchi, Aaron Gilad Kusne
2022	J	`jnl`	Bayesian Optimization for Cascade-Type Multistage Processes. Neural Comput. Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2022	A*	`conf`	Bayesian Optimization for Distributionally Robust Chance-constrained Problem. ICML Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022	J	`jnl`	Bayesian Optimization for Distributionally Robust Chance-constrained Problem. CoRR Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi
2022	J	`jnl`	Benchmarking Active Learning Strategies for Materials Optimization and Discovery. CoRR Alex Wang, Haotong Liang, Austin McDannald, Ichiro Takeuchi, Aaron Gilad Kusne
2022	J	`jnl`	Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2022	A*	`conf`	Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. AAAI Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2022	J	`jnl`	More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. J. Mach. Learn. Res. Vo Nguyen Le Duy, Ichiro Takeuchi
2022	A*	`conf`	Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference. NeurIPS Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
2022	J	`jnl`	Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction. IEEE Trans. Knowl. Data Eng. Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Hiroyuki Hanada, Yasuo Tabei, Ichiro Takeuchi
2022	J	`jnl`	Subtype classification of malignant lymphoma using immunohistochemical staining pattern. Int. J. Comput. Assist. Radiol. Surg. Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani
2022	J	`jnl`	Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. CoRR Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
2022	J	`jnl`	Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records. CoRR Yusuke Takagi, Noriaki Hashimoto, Hiroki Masuda, Hiroaki Miyoshi, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi
2021	A*	`conf`	Active Learning for Distributionally Robust Level-Set Estimation. ICML Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
2021	J	`jnl`	Active learning for distributionally robust level-set estimation. CoRR Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi
2021	J	`jnl`	Bayesian Optimization for Cascade-type Multi-stage Processes. CoRR Shunya Kusakawa, Shion Takeno, Yu Inatsu, Kentaro Kutsukake, Shogo Iwazaki, Takashi Nakano, Toru Ujihara, Masayuki Karasuyama, Ichiro Takeuchi
2021	J	`jnl`	Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. Neural Comput. Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2021	J	`jnl`	Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning. CoRR 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
2021	J	`jnl`	Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation. CoRR Toshiaki Tsukurimichi, Yu Inatsu, Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Continuation Path with Linear Convergence Rate. CoRR Eugène Ndiaye, Ichiro Takeuchi
2021	J	`jnl`	Distance metric learning for graph structured data. Mach. Learn. Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2021	J	`jnl`	Exact Statistical Inference for the Wasserstein Distance by Selective Inference. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Fast and More Powerful Selective Inference for Sparse High-order Interaction Model. CoRR Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi
2021	J	`jnl`	Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN). CoRR Changming Wu, Xiaoxuan Yang, Heshan Yu, Ruoming Peng, Ichiro Takeuchi, Yiran Chen, Mo Li
2021	A	`conf`	Mean-Variance Analysis in Bayesian Optimization under Uncertainty. AISTATS Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2021	J	`jnl`	More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2021	A*	`conf`	More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. ICML Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
2021	A	`conf`	Parametric Programming Approach for More Powerful and General Lasso Selective Inference. AISTATS Vo Nguyen Le Duy, Ichiro Takeuchi
2021	J	`jnl`	Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping. CoRR Aaron Gilad Kusne, Austin McDannald, Brian L. DeCost, Corey Oses, Cormac Toher, Stefano Curtarolo, Apurva Mehta, Ichiro Takeuchi
2021	J	`jnl`	Root-finding Approaches for Computing Conformal Prediction Set. CoRR Eugène Ndiaye, Ichiro Takeuchi
2021	—	`conf`	Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization. LSSC Valentin G. Stanev, Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov
2021	J	`jnl`	Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference. CoRR Ryota Sugiyama, Hiroki Toda, Vo Nguyen Le Duy, Yu Inatsu, Ichiro Takeuchi
2020	J	`jnl`	Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives. Neural Comput. Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
2020	J	`jnl`	Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions. Neural Comput. Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
2020	J	`jnl`	Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation. Neural Comput. Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Hideki Kandori, Ichiro Takeuchi
2020	J	`jnl`	Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty. IEEE Access Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2020	J	`jnl`	Bayesian Quadrature Optimization for Probability Threshold Robustness Measure. CoRR Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2020	A*	`conf`	Computing Valid P-Values for Image Segmentation by Selective Inference. CVPR Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
2020	A*	`conf`	Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. NeurIPS Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
2020	J	`jnl`	Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming. CoRR Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi
2020	J	`jnl`	Distance Metric Learning for Graph Structured Data. CoRR Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2020	J	`jnl`	Mean-Variance Analysis in Bayesian Optimization under Uncertainty. CoRR Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2020	J	`jnl`	More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach. CoRR Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi
2020	A*	`conf`	Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization. ICML Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2020	A*	`conf`	Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. CVPR Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
2020	J	`jnl`	Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images. CoRR Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi
2020	J	`jnl`	Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs. CoRR Vo Nguyen Le Duy, Ichiro Takeuchi
2020	J	`jnl`	Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference. CoRR Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi
2020	J	`jnl`	Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union. CoRR Rory P. Bunker, Keisuke Fujii, Hiroyuki Hanada, Ichiro Takeuchi
2019	J	`jnl`	Active learning for enumerating local minima based on Gaussian process derivatives. CoRR Yu Inatsu, Daisuke Sugita, Kazuaki Toyoura, Ichiro Takeuchi
2019	J	`jnl`	Active learning for level set estimation under cost-dependent input uncertainty. CoRR Yu Inatsu, Masayuki Karasuyama, Keiichi Inoue, Ichiro Takeuchi
2019	J	`jnl`	Bayesian Active Learning for Structured Output Design. CoRR Kota Matsui, Shunya Kusakawa, Keisuke Ando, Kentaro Kutsukake, Toru Ujihara, Ichiro Takeuchi
2019	J	`jnl`	Bayesian Experimental Design for Finding Reliable Level Set under Input Uncertainty. CoRR Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi
2019	—	`conf`	Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System. PerCom Workshops Shinsuke Kajioka, Takuto Sakuma, Ichiro Takeuchi
2019	A*	`conf`	Computing Full Conformal Prediction Set with Approximate Homotopy. NeurIPS Eugène Ndiaye, Ichiro Takeuchi
2019	J	`jnl`	Computing Full Conformal Prediction Set with Approximate Homotopy. CoRR Eugène Ndiaye, Ichiro Takeuchi
2019	J	`jnl`	Computing Valid p-values for Image Segmentation by Selective Inference. CoRR Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi
2019	J	`jnl`	Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis. Adv. Robotics 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
2019	A*	`conf`	Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. KDD Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2019	J	`jnl`	Multi-fidelity Bayesian Optimization with Max-value Entropy Search. CoRR Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama
2019	—	`conf`	Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. ICLR (Poster) Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2019	A*	`conf`	Safe Grid Search with Optimal Complexity. ICML Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2019	J	`jnl`	Safe Triplet Screening for Distance Metric Learning. Neural Comput. Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2019	—	`conf`	Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction. SIGSPATIAL/GIS Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Arai, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
2019	J	`jnl`	Statistically Discriminative Sub-trajectory Mining. CoRR Vo Nguyen Le Duy, Takuto Sakuma, Taiju Ishiyama, Hiroki Toda, Kazuya Nishi, Masayuki Karasuyama, Yuta Okubo, Masayuki Sunaga, Yasuo Tabei, Ichiro Takeuchi
2018	J	`jnl`	AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis. J. Chem. Inf. Model. 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
2018	A*	`conf`	Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. AAAI Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
2018	—	`conf`	Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data. HCI (22) Takuto Sakuma, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Ichiro Takeuchi
2018	J	`jnl`	Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values. CoRR Hiroyuki Hanada, Toshiyuki Takada, Jun Sakuma, Ichiro Takeuchi
2018	J	`jnl`	Learning sparse optimal rule fit by safe screening. CoRR Hiroki Kato, Hiroyuki Hanada, Ichiro Takeuchi
2018	A	`conf`	Post Selection Inference with Kernels. AISTATS Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi
2018	C	`ed.`	Proceedings of The 10th Asian Conference on Machine Learning, ACML 2018, Beijing, China, November 14-16, 2018. ACML Jun Zhu, Ichiro Takeuchi
2018	J	`jnl`	Safe Grid Search with Optimal Complexity. CoRR Eugène Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi
2018	A*	`conf`	Safe Triplet Screening for Distance Metric Learning. KDD Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama
2018	—	`conf`	Selecting the Best in GANs Family: a Post Selection Inference Framework. ICLR (Workshop) Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2018	J	`jnl`	Selecting the Best in GANs Family: a Post Selection Inference Framework. CoRR Yao-Hung Hubert Tsai, Makoto Yamada, Denny Wu, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu
2017	J	`jnl`	Homotopy continuation approaches for robust SV classification and regression. Mach. Learn. Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi
2017	A	`conf`	Privacy-preserving and Optimal Interval Release for Disease Susceptibility. AsiaCCS Kosuke Kusano, Ichiro Takeuchi, Jun Sakuma
2017	A*	`conf`	Selective Inference for Sparse High-Order Interaction Models. ICML Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi
2017	J	`jnl`	Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations. CoRR Atsushi Shibagaki, Ichiro Takeuchi
2016	J	`jnl`	Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization. CoRR Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi
2016	A*	`conf`	Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. KDD Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi
2016	C	`conf`	Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. ACML Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi
2016	J	`jnl`	Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. CoRR Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi
2016	A*	`conf`	Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling. ICML Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi
2015	J	`jnl`	Homotopy Continuation Approaches for Robust SV Classification and Regression. CoRR Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi
2015	A*	`conf`	Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. KDD Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi
2015	J	`jnl`	Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems. CoRR Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi
2015	—	`conf`	Regularization Path of Cross-Validation Error Lower Bounds. NIPS Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi
2014	A*	`conf`	Outlier Path: A Homotopy Algorithm for Robust SVM. ICML Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi
2014	J	`jnl`	Quantitative analysis of time-course development of motion sickness caused by in-vehicle video watching. Displays Naoki Isu, Takuya Hasegawa, Ichiro Takeuchi, Akihiro Morimoto
2013	J	`jnl`	Density-Difference Estimation. Neural Comput. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
2013	—	`conf`	Development and Clinical Study of Mobile 12-Lead Electrocardiography Based on Cloud Computing for Cardiac Emergency. MedInfo Hideo Fujita, Yuji Uchimura, Kayo Waki, Koji Omae, Ichiro Takeuchi, Kazuhiko Ohe
2013	J	`jnl`	Discovering combinatorial interactions in survival data. Bioinform. David duVerle, Ichiro Takeuchi, Yuko Murakami-Tonami, Kenji Kadomatsu, Koji Tsuda
2013	—	`conf`	Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering. NIPS Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi
2013	—	`conf`	Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines. ICML (3) Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama
2013	—	`conf`	Parametric Task Learning. NIPS Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama, Shinichi Nakajima
2013	—	`conf`	Safe Screening of Non-Support Vectors in Pathwise SVM Computation. ICML (3) Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi
2012	J	`jnl`	Density-Difference Estimation CoRR Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
2012	—	`conf`	Density-Difference Estimation. NIPS Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus Christoffel du Plessis, Song Liu, Ichiro Takeuchi
2012	J	`jnl`	Multi-parametric solution-path algorithm for instance-weighted support vector machines. Mach. Learn. Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2011	—	`conf`	Multi-parametric solution-path algorithm for instance-weighted support vector machines. MLSP Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2011	J	`jnl`	Nonlinear Regularization Path for Quadratic Loss Support Vector Machines. IEEE Trans. Neural Networks Masayuki Karasuyama, Ichiro Takeuchi
2011	J	`jnl`	Suboptimal Solution Path Algorithm for Support Vector Machine CoRR Masayuki Karasuyama, Ichiro Takeuchi
2011	A*	`conf`	Suboptimal Solution Path Algorithm for Support Vector Machine. ICML Masayuki Karasuyama, Ichiro Takeuchi
2011	—	`conf`	Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification. NIPS Ichiro Takeuchi, Masashi Sugiyama
2010	A	`conf`	Conditional Density Estimation via Least-Squares Density Ratio Estimation. AISTATS Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara
2010	B	`conf`	Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test. IJCNN Yuta Ishikawa, Ichiro Takeuchi
2010	J	`jnl`	Differentially Aberrant Region Detection in Array CGH Data Based on Nearest Neighbor Classification Performance. Inf. Media Technol. Yuta Ishikawa, Ichiro Takeuchi
2010	J	`jnl`	Least-Squares Conditional Density Estimation. IEICE Trans. Inf. Syst. Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara
2010	J	`jnl`	Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method. Neural Networks Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2010	J	`jnl`	Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines CoRR Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi
2010	J	`jnl`	Multiple incremental decremental learning of support vector machines. IEEE Trans. Neural Networks Masayuki Karasuyama, Ichiro Takeuchi
2010	B	`conf`	Nonlinear regularization path for the modified Huber loss Support Vector Machines. IJCNN Masayuki Karasuyama, Ichiro Takeuchi
2009	—	`conf`	A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. ICONIP (1) Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2009	J	`jnl`	A Density-ratio Framework for Statistical Data Processing. Inf. Media Technol. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009	J	`jnl`	A Density-ratio Framework for Statistical Data Processing. IPSJ Trans. Comput. Vis. Appl. Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Shohei Hido, Jun Sese, Ichiro Takeuchi, Liwei Wang
2009	J	`jnl`	Adaptive Kernel Quantile Regression for Anomaly Detection. J. Adv. Comput. Intell. Intell. Informatics Hiroyuki Moriguchi, Ichiro Takeuchi, Masayuki Karasuyama, Shin-ichi Horikawa, Yoshikatsu Ohta, Tetsuji Kodama, Hiroshi Naruse
2009	J	`jnl`	Efficient Leave- New Gener. Comput. Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2009	—	`conf`	Multiple Incremental Decremental Learning of Support Vector Machines. NIPS Masayuki Karasuyama, Ichiro Takeuchi
2009	J	`jnl`	Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression. Neural Comput. Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
2009	—	`conf`	Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. ICONIP (1) Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano
2008	—	`conf`	Reducing SVR Support Vectors by Using Backward Deletion. KES (3) Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano
2006	J	`jnl`	Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions. Comput. Stat. Data Anal. Takafumi Kanamori, Ichiro Takeuchi
2006	J	`jnl`	Nonparametric Quantile Estimation. J. Mach. Learn. Res. Ichiro Takeuchi, Quoc V. Le, Tim D. Sears, Alexander J. Smola
2006	B	`conf`	The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. IJCNN Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori
2004	B	`conf`	Non-crossing quantile regressions by SVM. IJCNN Ichiro Takeuchi, Takeshi Furuhashi
2003	J	`jnl`	A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate. Neurocomputing Yutaka Hirata, Ichiro Takeuchi, Stephen M. Highstein
2003	B	`conf`	Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles. IJCNN Ichiro Takeuchi, Noriyuki Yamanaka, Takeshi Furuhashi
2002	J	`jnl`	Robust Regression with Asymmetric Heavy-Tail Noise Distributions. Neural Comput. Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
2001	—	`conf`	Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng
2000	J	`jnl`	A description of dynamic behavior of sensory/motor systems with fuzzy symbolic dynamic systems. Artif. Life Robotics Ichiro Takeuchi, Takeshi Furuhashi
1998	—	`conf`	A proposal of architecture for intelligent systems with manipulative grounded symbols. KES (1) Ichiro Takeuchi, Takeshi Furuhashi
1997	J	`jnl`	Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing. Adv. Robotics Ichiro Takeuchi, Takeshi Furuhashi
1996	—	`conf`	An Inference Method Using Multiple Patterns and Modification of Pattern Space. SEAL Ichiro Takeuchi, Takeshi Furuhashi