Takeuchi, Ichiro

54 publications

TMLR 2025 Change Point Detection in the Frequency Domain with Statistical Reliability Akifumi Yamada, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Kouichi Taji, Ichiro Takeuchi

TMLR 2025 Conditional Latent Space Molecular Scaffold Optimization for Accelerated Molecular Design Onur Boyar, Hiroyuki Hanada, Ichiro Takeuchi

ICML 2025 Distributionally Robust Active Learning for Gaussian Process Regression Shion Takeno, Yoshito Okura, Yu Inatsu, Aoyama Tatsuya, Tomonari Tanaka, Akahane Satoshi, Hiroyuki Hanada, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi

TMLR 2025 Distributionally Robust Coreset Selection Under Covariate Shift Tomonari Tanaka, Hiroyuki Hanada, Hanting Yang, Aoyama Tatsuya, Yu Inatsu, Akahane Satoshi, Yoshito Okura, Noriaki Hashimoto, Taro Murayama, Hanju Lee, Shinya Kojima, Ichiro Takeuchi

NeurIPS 2025 Quantifying Statistical Significance of Deep Nearest Neighbor Anomaly Detection via Selective Inference Mizuki Niihori, Shuichi Nishino, Teruyuki Katsuoka, Tomohiro Shiraishi, Kouichi Taji, Ichiro Takeuchi

TMLR 2025 Regret Analysis of Posterior Sampling-Based Expected Improvement for Bayesian Optimization Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

AISTATS 2025 Statistical Test for Auto Feature Engineering by Selective Inference Tatsuya Matsukawa, Tomohiro Shiraishi, Shuichi Nishino, Teruyuki Katsuoka, Ichiro Takeuchi

ICML 2025 Statistical Test for Feature Selection Pipelines by Selective Inference Tomohiro Shiraishi, Tatsuya Matsukawa, Shuichi Nishino, Ichiro Takeuchi

TMLR 2025 Statistical Test for Saliency Maps of Graph Neural Networks via Selective Inference Shuichi Nishino, Tomohiro Shiraishi, Teruyuki Katsuoka, Ichiro Takeuchi

TMLR 2024 Active Learning for Level Set Estimation Using Randomized Straddle Algorithms Yu Inatsu, Shion Takeno, Kentaro Kutsukake, Ichiro Takeuchi

AISTATS 2024 Bounding Box-Based Multi-Objective Bayesian Optimization of Risk Measures Under Input Uncertainty Yu Inatsu, Shion Takeno, Hiroyuki Hanada, Kazuki Iwata, Ichiro Takeuchi

AISTATS 2024 CAD-DA: Controllable Anomaly Detection After Domain Adaptation by Statistical Inference Vo Nguyen Le Duy, Hsuan-Tien Lin, Ichiro Takeuchi

AAAI 2024 Multi-Objective Bayesian Optimization with Active Preference Learning Ryota Ozaki, Kazuki Ishikawa, Youhei Kanzaki, Shion Takeno, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds Shion Takeno, Yu Inatsu, Masayuki Karasuyama, Ichiro Takeuchi

ICML 2024 Statistical Test for Attention Maps in Vision Transformers Tomohiro Shiraishi, Daiki Miwa, Teruyuki Katsuoka, Vo Nguyen Le Duy, Kouichi Taji, Ichiro Takeuchi

AISTATS 2023 A Stopping Criterion for Bayesian Optimization by the Gap of Expected Minimum Simple Regrets Hideaki Ishibashi, Masayuki Karasuyama, Ichiro Takeuchi, Hideitsu Hino

MLJ 2023 Root-Finding Approaches for Computing Conformal Prediction Set Eugène Ndiaye, Ichiro Takeuchi

ICLR 2023 Valid P-Value for Deep Learning-Driven Salient Region Miwa Daiki, Vo Nguyen Le Duy, Ichiro Takeuchi

ICML 2022 Bayesian Optimization for Distributionally Robust Chance-Constrained Problem Yu Inatsu, Shion Takeno, Masayuki Karasuyama, Ichiro Takeuchi

AAAI 2022 Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model Diptesh Das, Vo Nguyen Le Duy, Hiroyuki Hanada, Koji Tsuda, Ichiro Takeuchi

JMLR 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming Vo Nguyen Le Duy, Ichiro Takeuchi

NeurIPS 2022 Quantifying Statistical Significance of Neural Network-Based Image Segmentation by Selective Inference Vo Nguyen Le Duy, Shogo Iwazaki, Ichiro Takeuchi

AISTATS 2021 Mean-Variance Analysis in Bayesian Optimization Under Uncertainty Shogo Iwazaki, Yu Inatsu, Ichiro Takeuchi

AISTATS 2021 Parametric Programming Approach for More Powerful and General Lasso Selective Inference Vo Nguyen Le Duy, Ichiro Takeuchi

ICML 2021 Active Learning for Distributionally Robust Level-Set Estimation Yu Inatsu, Shogo Iwazaki, Ichiro Takeuchi

MLJ 2021 Distance Metric Learning for Graph Structured Data Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama

ICML 2021 More Powerful and General Selective Inference for Stepwise Feature Selection Using Homotopy Method Kazuya Sugiyama, Vo Nguyen Le Duy, Ichiro Takeuchi

NeurIPS 2020 Computing Valid P-Value for Optimal Changepoint by Selective Inference Using Dynamic Programming Vo Nguyen Le Duy, Hiroki Toda, Ryota Sugiyama, Ichiro Takeuchi

ICML 2020 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

NeurIPS 2019 Computing Full Conformal Prediction Set with Approximate Homotopy Eugene Ndiaye, Ichiro Takeuchi

ICLR 2019 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

ICML 2019 Safe Grid Search with Optimal Complexity Eugene Ndiaye, Tam Le, Olivier Fercoq, Joseph Salmon, Ichiro Takeuchi

AAAI 2018 Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment Hiroyuki Hanada, Atsushi Shibagaki, Jun Sakuma, Ichiro Takeuchi

AISTATS 2018 Post Selection Inference with Kernels Makoto Yamada, Yuta Umezu, Kenji Fukumizu, Ichiro Takeuchi

ACML 2018 Preface Jun Zhu, Ichiro Takeuchi

MLJ 2017 Homotopy Continuation Approaches for Robust SV Classification and Regression Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Masayuki Karasuyama, Ichiro Takeuchi

ICML 2017 Selective Inference for Sparse High-Order Interaction Models Shinya Suzumura, Kazuya Nakagawa, Yuta Umezu, Koji Tsuda, Ichiro Takeuchi

ACML 2016 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization Toshiyuki Takada, Hiroyuki Hanada, Yoshiji Yamada, Jun Sakuma, Ichiro Takeuchi

ICML 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling Atsushi Shibagaki, Masayuki Karasuyama, Kohei Hatano, Ichiro Takeuchi

NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds Atsushi Shibagaki, Yoshiki Suzuki, Masayuki Karasuyama, Ichiro Takeuchi

ICML 2014 Outlier Path: A Homotopy Algorithm for Robust SVM Shinya Suzumura, Kohei Ogawa, Masashi Sugiyama, Ichiro Takeuchi

NeurIPS 2013 Global Solver and Its Efficient Approximation for Variational Bayesian Low-Rank Subspace Clustering Shinichi Nakajima, Akiko Takeda, S. Derin Babacan, Masashi Sugiyama, Ichiro Takeuchi

ICML 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines Kohei Ogawa, Motoki Imamura, Ichiro Takeuchi, Masashi Sugiyama

NeurIPS 2013 Parametric Task Learning Ichiro Takeuchi, Tatsuya Hongo, Masashi Sugiyama, Shinichi Nakajima

ICML 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation Kohei Ogawa, Yoshiki Suzuki, Ichiro Takeuchi

NeurIPS 2012 Density-Difference Estimation Masashi Sugiyama, Takafumi Kanamori, Taiji Suzuki, Marthinus D. Plessis, Song Liu, Ichiro Takeuchi

MLJ 2012 Multi-Parametric Solution-Path Algorithm for Instance-Weighted Support Vector Machines Masayuki Karasuyama, Naoyuki Harada, Masashi Sugiyama, Ichiro Takeuchi

ICML 2011 Suboptimal Solution Path Algorithm for Support Vector Machine Masayuki Karasuyama, Ichiro Takeuchi

NeurIPS 2011 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification Ichiro Takeuchi, Masashi Sugiyama

AISTATS 2010 Conditional Density Estimation via Least-Squares Density Ratio Estimation Masashi Sugiyama, Ichiro Takeuchi, Taiji Suzuki, Takafumi Kanamori, Hirotaka Hachiya, Daisuke Okanohara

NeurIPS 2009 Multiple Incremental Decremental Learning of Support Vector Machines Masayuki Karasuyama, Ichiro Takeuchi

JMLR 2006 Nonparametric Quantile Estimation Ichiro Takeuchi, Quoc V. Le, Timothy D. Sears, Alexander J. Smola

NeCo 2002 Robust Regression with Asymmetric Heavy-Tail Noise Distributions Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori

NeurIPS 2001 Estimating Car Insurance Premia: A Case Study in High-Dimensional Data Inference Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng