Ichiro Takeuchi

Statistically Robust Sparse High-order Interaction Model AAAI 2026 Statistical Test for Attention in Transformers for Images and Time Series JMLR 2026 Distributionally Robust Active Learning for Gaussian Process Regression ICML 2025 Explainable Classifier for Malignant Lymphoma Subtyping via Cell Graph and Image Fusion MICCAI 2025 Statistical Test for Auto Feature Engineering by Selective Inference AISTATS 2025 Statistical Test for Feature Selection Pipelines by Selective Inference ICML 2025 Bounding Box-based Multi-objective Bayesian Optimization of Risk Measures under Input Uncertainty AISTATS 2024 CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference AISTATS 2024 Multi-Objective Bayesian Optimization with Active Preference Learning AAAI 2024 Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds ICML 2024 Statistical Test for Attention Maps in Vision Transformers ICML 2024 A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets AISTATS 2023 Valid P-Value for Deep Learning-driven Salient Region ICLR 2023 Bayesian Optimization for Distributionally Robust Chance-constrained Problem ICML 2022 Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model AAAI 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference NeurIPS 2022 Active Learning for Distributionally Robust Level-Set Estimation ICML 2021 Mean-Variance Analysis in Bayesian Optimization under Uncertainty AISTATS 2021 More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method ICML 2021 Parametric Programming Approach for More Powerful and General Lasso Selective Inference AISTATS 2021 Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming NeurIPS 2020 Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020 Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization ICML 2020 Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images CVPR 2020 Computing Full Conformal Prediction Set with Approximate Homotopy NeurIPS 2019 Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator ICLR 2019 Safe Grid Search with Optimal Complexity ICML 2019 Post Selection Inference with Kernels AISTATS 2018 Selective Inference for Sparse High-Order Interaction Models ICML 2017 Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization ACML 2016 Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling ICML 2016 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Outlier Path: A Homotopy Algorithm for Robust SVM ICML 2014 Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering NeurIPS 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Parametric Task Learning NeurIPS 2013 Safe Screening of Non-Support Vectors in Pathwise SVM Computation ICML 2013 Density-Difference Estimation NeurIPS 2012 Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification NeurIPS 2011 Conditional Density Estimation via Least-Squares Density Ratio Estimation AISTATS 2010 Multiple Incremental Decremental Learning of Support Vector Machines NeurIPS 2009 Nonparametric Quantile Estimation JMLR 2006