| 2026 | AAAI | Statistically Robust Sparse High-order Interaction Model. | Diptesh Das, Ichiro Takeuchi, Koji Tsuda |
| 2025 | AISTATS | Statistical Test for Auto Feature Engineering by Selective Inference. | Tatsuya Matsukawa, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Ichiro Takeuchi |
| 2025 | ICML | Statistical Test for Feature Selection Pipelines by Selective Inference. | Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi |
| 2025 | ICML | Distributionally Robust Active Learning for Gaussian Process Regression. | 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 | KDD | Bayesian Optimization for Simultaneous Selection of Machine Learning Algorithms and Hyperparameters on Shared Latent Space. | Kazuki Ishikawa, Ryota Ozaki, Yohei Kanzaki, Ichiro Takeuchi, Masayuki Karasuyama |
| 2025 | MICCAI | Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion. | Daiki Nishiyama, Hiroaki Miyoshi, Noriaki Hashimoto, Koichi Ohshima, Hidekata Hontani, Ichiro Takeuchi, Jun Sakuma |
| 2024 | AAAI | Multi-Objective Bayesian Optimization with Active Preference Learning. | Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama |
| 2024 | AISTATS | CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference. | Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi |
| 2024 | AISTATS | Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty. | Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi |
| 2024 | ICML | Statistical Test for Attention Maps in Vision Transformers. | Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi |
| 2024 | ICML | Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds. | Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi |
| 2024 | VISIGRAPP | Modification of DDIM Encoding for Generating Counterfactual Pathology Images of Malignant Lymphoma. | Ryoichi Koga, Mauricio Kugler, Tatsuya Yokota, Kouichi Ohshima, Hiroaki Miyoshi, Miharu Nagaishi, Noriaki Hashimoto, Ichiro Takeuchi, Hidekata Hontani |
| 2023 | AISTATS | A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets. | Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino |
| 2023 | ICLR | Valid P-Value for Deep Learning-driven Salient Region. | Daiki Miwa, Vo Nguyen Le Duy, Ichiro Takeuchi |
| 2022 | AAAI | Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model. | Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi |
| 2022 | ICML | Bayesian Optimization for Distributionally Robust Chance-constrained Problem. | Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi |
| 2021 | AISTATS | Parametric Programming Approach for More Powerful and General Lasso Selective Inference. | Vo Nguyen Le Duy, Ichiro Takeuchi |
| 2021 | AISTATS | Mean-Variance Analysis in Bayesian Optimization under Uncertainty. | Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi |
| 2021 | ICML | Active Learning for Distributionally Robust Level-Set Estimation. | Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi |
| 2021 | ICML | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method. | Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi |
| 2020 | CVPR | Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images. | Noriaki Hashimoto, Daisuke Fukushima, Ryoichi Koga, Yusuke Takagi, Kaho Ko, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Hidekata Hontani, Ichiro Takeuchi |
| 2020 | CVPR | Computing Valid P-Values for Image Segmentation by Selective Inference. | Kosuke Tanizaki, Noriaki Hashimoto, Yu Inatsu, Hidekata Hontani, Ichiro Takeuchi |
| 2020 | ICML | Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization. | Shion Takeno, Hitoshi Fukuoka, Yuhki Tsukada, Toshiyuki Koyama, Motoki Shiga, Ichiro Takeuchi, Masayuki Karasuyama |
| 2019 | ICLR | Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator. | Makoto Yamada, Denny Wu, Yao-Hung Hubert Tsai, Hirofumi Ohta, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2019 | ICML | Safe Grid Search with Optimal Complexity. | Eugne Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi |
| 2019 | KDD | Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining. | Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama |
| 2019 | PERCOM | Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System. | Shinsuke Kajioka, Takuto Sakuma, Ichiro Takeuchi |
| 2018 | AAAI | Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment. | Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi |
| 2018 | AISTATS | Post Selection Inference with Kernels. | Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi |
| 2018 | HCI | Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data. | Takuto Sakuma, Kazuya Nishi, Shuhei J. Yamazaki, Koutarou D. Kimura, Sakiko Matsumoto, Ken Yoda, Ichiro Takeuchi |
| 2018 | ICLR | Selecting the Best in GANs Family: a Post Selection Inference Framework. | Yao-Hung Hubert Tsai, Denny Wu, Makoto Yamada, Ruslan Salakhutdinov, Ichiro Takeuchi, Kenji Fukumizu |
| 2018 | KDD | Safe Triplet Screening for Distance Metric Learning. | Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama |
| 2017 | CCS | Privacy-preserving and Optimal Interval Release for Disease Susceptibility. | Kosuke Kusano, Ichiro Takeuchi, Jun Sakuma |
| 2017 | ICML | Selective Inference for Sparse High-Order Interaction Models. | Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi |
| 2016 | ACML | Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization. | Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi |
| 2016 | ICML | Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling. | Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi |
| 2016 | KDD | Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining. | Kazuya Nakagawa, Shinya Suzumura, Masayuki Karasuyama, Koji Tsuda, Ichiro Takeuchi |
| 2015 | KDD | Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems. | Shota Okumura, Yoshiki Suzuki, Ichiro Takeuchi |
| 2014 | ICML | Outlier Path: A Homotopy Algorithm for Robust SVM. | Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi |
| 2013 | ICML | Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines. | Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama |
| 2013 | ICML | Safe Screening of Non-Support Vectors in Pathwise SVM Computation. | Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi |
| 2011 | ICML | Suboptimal Solution Path Algorithm for Support Vector Machine. | Masayuki Karasuyama, Ichiro Takeuchi |
| 2010 | IJCNN | Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test. | Yuta Ishikawa, Ichiro Takeuchi |
| 2010 | IJCNN | Nonlinear regularization path for the modified Huber loss Support Vector Machines. | Masayuki Karasuyama, Ichiro Takeuchi |
| 2009 | ICONIP | A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution. | Naoyuki Harada, Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano |
| 2009 | ICONIP | Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation. | Yuta Ishikawa, Ichiro Takeuchi, Ryohei Nakano |
| 2008 | KES | Reducing SVR Support Vectors by Using Backward Deletion. | Masayuki Karasuyama, Ichiro Takeuchi, Ryohei Nakano |
| 2006 | IJCNN | The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator. | Ichiro Takeuchi, Kaname Nomura, Takafumi Kanamori |
| 2004 | IJCNN | Non-crossing quantile regressions by SVM. | Ichiro Takeuchi, Takeshi Furuhashi |
| 2003 | IJCNN | Robust regression under asymmetric or/and non-constant variance error by simultaneously training conditional quantiles. | Ichiro Takeuchi, Noriyuki Yamanaka, Takeshi Furuhashi |
| 1998 | KES | A proposal of architecture for intelligent systems with manipulative grounded symbols. | Ichiro Takeuchi, Takeshi Furuhashi |