← Authors

Ichiro Takeuchi

42 papers · 2006–2026 · 9 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (15) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (19) πŸ—ΊοΈ Taxonomy Completionist (23) 🌍 Conference Polyglot (9) 🌟 Keyword Trendsetter Combo (4) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ”¬ Deep Specialist (15) πŸ—ƒοΈ Keyword Collector (82) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (41) ⚑ Prolific Year (5)

Conferences

ICML (14) NIPS (9) AISTATS (8) AAAI (3) CVPR (2) ICLR (2) JMLR (2) ACML (1) MICCAI (1)

Top co-authors

Vo Nguyen Le Duy (9) Masayuki Karasuyama (8) Yu Inatsu (7) Masashi Sugiyama (7) Shion Takeno (6) Hiroyuki Hanada (4) Noriaki Hashimoto (4) Tomohiro Shiraishi (3) Shogo Iwazaki (3) Koji Tsuda (3)

Research topics

Privacy (1) Statistics (1)

Keywords

selective inference (9) bayesian optimization (6) parametric programming (5) statistical inference (5) support vector machine (4) regularization path (4) gaussian process (3) hypothesis testing (3) active learning (3) feature selection (3) multi-objective optimization (3) homotopy method (3) conformal prediction (2) quadratic programming (2) image segmentation (2) regularization parameter (2) quantile regression (2) domain adaptation (2) nonparametric estimation (2) empirical risk minimization (2)

Papers

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