Ichiro Takeuchi

Ichiro Takeuchi, T. Furuhashi, 1998, 1998 IEEE International Conference on Fuzzy Systems Proceedings. IEEE World Congress on Computational Intelligence (Cat. No.98CH36228).

A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate

Ichiro Takeuchi, Yutaka Hirata, Stephen M. Highstein, 2003, Neurocomputing.

Parametric Task Learning

Shinichi Nakajima, Masashi Sugiyama, Ichiro Takeuchi, 2013, NIPS.

Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation

Ichiro Takeuchi, Masayuki Karasuyama, Keiichi Inoue, 2020, Neural Computation.

An Inference Method Using Multiple Patterns and Modification of Pattern Space

Takeshi Furuhashi, Ichiro Takeuchi, T. Furuhashi, 1996, SEAL.

Structural Predictors for Machine Learning Modeling of Superconductivity in Iron-based Materials

Ichiro Takeuchi, Valentin Stanev, Jack Flowers, 2019 .

A Density-ratio Framework for Statistical Data Processing

Takafumi Kanamori, Liwei Wang, Masashi Sugiyama, 2009, IPSJ Trans. Comput. Vis. Appl..

Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining

Ichiro Takeuchi, Masayuki Karasuyama, Tomoki Yoshida, 2019, KDD.

Machine Learning Analysis for Combinaotrial XRD data

Ichiro Takeuchi, Yuma Iwasaki, A. Gilad Kusne, 2017 .

Active learning for level set estimation under cost-dependent input uncertainty pdf

Ichiro Takeuchi, Masayuki Karasuyama, Keiichi Inoue, 2019, ArXiv.

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2016, ACML.

Reducing SVR Support Vectors by Using Backward Deletion

Ichiro Takeuchi, Masayuki Karasuyama, Ryohei Nakano, 2008, KES.

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images

Hidekata Hontani, Ichiro Takeuchi, Shigeo Nakamura, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Clustering Complex Networks with the Prior based on degree distribution

Ichiro Takeuchi, Ryohei Nakano, Naoyuki Harada, 2008 .

Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing

Takeshi Furuhashi, Ichiro Takeuchi, T. Furuhashi, 1997, Adv. Robotics.

Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning

Hironobu Fujiyoshi, Tsubasa Hirakawa, Takayoshi Yamashita, 2018, Ecosphere.

The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator

Takafumi Kanamori, Ichiro Takeuchi, Kaname Nomura, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Combinatorial Methodologies Applied to the Advanced CMOS Gate Stack

Ichiro Takeuchi, Martin L. Green, Kao-Shuo Chang, 2007 .

Bayesian Quadrature Optimization for Probability Threshold Robustness Measure pdf

Ichiro Takeuchi, Yu Inatsu, Shogo Iwazaki, 2020, Neural Computation.

Machine learning modeling of superconducting critical temperature

Corey Oses, Ichiro Takeuchi, Efrain Rodriguez, 2017, npj Computational Materials.

Adaptive Kernel Quantile Regression for Anomaly Detection

Ichiro Takeuchi, Masayuki Karasuyama, Hiroshi Naruse, 2009, J. Adv. Comput. Intell. Intell. Informatics.

Multi-fidelity Bayesian Optimization with Max-value Entropy Search

Ichiro Takeuchi, Masayuki Karasuyama, Motoki Shiga, 2019, ICML.

Selective Inference for Sparse High-Order Interaction Models

Ichiro Takeuchi, Shinya Suzumura, Koji Tsuda, 2017, ICML.

Distance Metric Learning for Graph Structured Data pdf

Tomoki Yoshida, Ichiro Takeuchi, Masayuki Karasuyama, 2020, ArXiv.

Convex Optimization Theory and Algorithms for Hyperparameter Optimization: Toward AutoML

Ichiro Takeuchi, 2020 .

Safe Screening of Non-Support Vectors in Pathwise SVM Computation

Ichiro Takeuchi, Kohei Ogawa, Yoshiki Suzuki, 2013, ICML.

Learning Common Features of Parametrized Tasks

Shinichi Nakajima, Masashi Sugiyama, Ichiro Takeuchi, 2013 .

Programmable Phase-change Metasurface for Multimode Photonic Convolutional Neural Network

Ichiro Takeuchi, Seokhyeong Lee, Ruoming Peng, 2020, 2020 IEEE Photonics Conference (IPC).

Statistically Discriminative Sub-trajectory Mining pdf

Yasuo Tabei, Ichiro Takeuchi, Masayuki Karasuyama, 2019, ArXiv.

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling

Ichiro Takeuchi, Masayuki Karasuyama, Kohei Hatano, 2016, ICML.

Modeling and Optimization of a Novel Heat Recovery Design for Thermoelastic Cooling Systems

Reinhard Radermacher, Ichiro Takeuchi, Yunho Hwang, 2015 .

Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference pdf

Ichiro Takeuchi, Vo Nguyen Le Duy, Shogo Iwazaki, 2020, ArXiv.

Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation

Ichiro Takeuchi, Ryohei Nakano, Yuta Ishikawa, 2009, ICONIP.

A proposal of architecture for intelligent systems with manipulative grounded symbols

Takeshi Furuhashi, Ichiro Takeuchi, 1998, 1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111).

AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis

Cormac Toher, Corey Oses, Stefano Curtarolo, 2018, J. Chem. Inf. Model..

A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution

Ichiro Takeuchi, Ryohei Nakano, Yuta Ishikawa, 2009, ICONIP.

Robust Regression with Asymmetric Heavy-Tail Noise Distributions

Takafumi Kanamori, Yoshua Bengio, Ichiro Takeuchi, 2002, Neural Computation.

Quantitative analysis of time-course development of motion sickness caused by in-vehicle video watching

Ichiro Takeuchi, Naoki Isu, Akihiro Morimoto, 2014, Displays.

Combinatorial Experimentation and Machine Learning for Materials Discovery

Ichiro Takeuchi, 2018 .

Mean-Variance Analysis in Bayesian Optimization under Uncertainty pdf

Ichiro Takeuchi, Yu Inatsu, Shogo Iwazaki, 2020, AISTATS.

Multiple Incremental Decremental Learning of Support Vector Machines

Ichiro Takeuchi, Masayuki Karasuyama, I. Takeuchi, 2009, IEEE Transactions on Neural Networks.

Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System

Ichiro Takeuchi, Takuto Sakuma, Shinsuke Kajioka, 2019, 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops).

A description of dynamic behavior of sensory/motor systems with fuzzy symbolic dynamic systems

Takeshi Furuhashi, Ichiro Takeuchi, T. Furuhashi, 2000, Artificial Life and Robotics.

Unsupervised phase mapping of X-ray diffraction data by nonnegative matrix factorization integrated with custom clustering

Ichiro Takeuchi, Velimir V. Vesselinov, Boian S. Alexandrov, 2018, npj Computational Materials.

Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives

Ichiro Takeuchi, Yu Inatsu, Daisuke Sugita, 2019, Neural Computation.

Nonparametric Quantile Estimation

Alexander J. Smola, Quoc V. Le, Ichiro Takeuchi, 2006, J. Mach. Learn. Res..

Machine Learning Algorithm for High-Order Interaction Modeling

Ichiro Takeuchi, Koji Tsuda, Kazuya Nakagawa, 2017 .

A Proposal of Intelligent System Architecture by Integration of Symbolic Processing and Stimulus-Reaction Type Processing

Takeshi Furuhashi, Ichiro Takeuchi, 1997 .

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis

Ichiro Takeuchi, Masayuki Karasuyama, Takuto Sakuma, 2019, Adv. Robotics.

Metric learning for DNA microarray data analysis

Masao Nakagawa, Ichiro Takeuchi, Masao Seto, 2009 .

Computing Full Conformal Prediction Set with Approximate Homotopy

Ichiro Takeuchi, Eugene Ndiaye, 2019, NeurIPS.

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering

Shinichi Nakajima, Akiko Takeda, Masashi Sugiyama, 2013, NIPS.

Regularization Path of Cross-Validation Error Lower Bounds

Ichiro Takeuchi, Masayuki Karasuyama, Yoshiki Suzuki, 2015, NIPS.

Bayesian Active Learning for Structured Output Design pdf

Ichiro Takeuchi, Toru Ujihara, Kentaro Kutsukake, 2019, ArXiv.

Privacy-preserving and Optimal Interval Release for Disease Susceptibility

Jun Sakuma, Ichiro Takeuchi, Kosuke Kusano, 2017, AsiaCCS.

Conduction mechanisms in c-axis and a-axis oriented YBCO/PBCO/YBCO trilayer junctions

Ichiro Takeuchi, Paul A. Warburton, Mark G. Blamire, 1996 .

Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2016, ArXiv.

Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference

Pascal Vincent, Nicolas Chapados, Yoshua Bengio, 2001, NIPS.

Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions

Takafumi Kanamori, Ichiro Takeuchi, 2006, Comput. Stat. Data Anal..

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines

Masashi Sugiyama, Ichiro Takeuchi, Kohei Ogawa, 2013, ICML.

Selective Inference Approach for Statistically Sound Predictive Pattern Mining

Ichiro Takeuchi, Shinya Suzumura, Koji Tsuda, 2016 .

Introduction to Bayesian Optimization and Its Application to Material Engineering

Ichiro Takeuchi, Kenta Kanamori, Kota Matsui, 2019 .

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming pdf

Ichiro Takeuchi, Hiroki Toda, Vo Nguyen Le Duy, 2020, NeurIPS.

Outlier Path: A Homotopy Algorithm for Robust SVM

Masashi Sugiyama, Ichiro Takeuchi, Shinya Suzumura, 2014, ICML.

A proposal of self-organizing network for aquisition of vague concept

Yoshiki Uchikawa, Takeshi Furuhashi, Ichiro Takeuchi, 1996, Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium.

Suboptimal Solution Path Algorithm for Support Vector Machine pdf

Ichiro Takeuchi, Masayuki Karasuyama, I. Takeuchi, 2011, ICML.

On-the-fly closed-loop materials discovery via Bayesian active learning

Cormac Toher, Corey Oses, Stefano Curtarolo, 2020, Nature Communications.

Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations pdf

Ichiro Takeuchi, Atsushi Shibagaki, 2017, ArXiv.

Selective inference via marginal screening for high dimensional classification

Ichiro Takeuchi, Yuta Umezu, I. Takeuchi, 2019, Japanese Journal of Statistics and Data Science.

Fulfilling the promise of the materials genome initiative with high-throughput experimental methodologies

Ichiro Takeuchi, Kristin A. Persson, John M. Gregoire, 2017 .

Post Selection Inference with Kernels

Kenji Fukumizu, Makoto Yamada, Ichiro Takeuchi, 2016, AISTATS.

Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining

Ichiro Takeuchi, Masayuki Karasuyama, Shinya Suzumura, 2016, KDD.

An Efficient Incremental-Decremental Data Filtering Method for Stream Learning

Ichiro Takeuchi, Kota Matsui, Saori Kurumi, 2015 .

Multi-parametric solution-path algorithm for instance-weighted support vector machines

Masashi Sugiyama, Ichiro Takeuchi, Masayuki Karasuyama, 2011, 2011 IEEE International Workshop on Machine Learning for Signal Processing.

Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method

Ichiro Takeuchi, Ryohei Nakano, Yuta Ishikawa, 2010, Neural Networks.

Safe Grid Search with Optimal Complexity

Ichiro Takeuchi, Tam Le, Joseph Salmon, 2018, ICML.

Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems

Ichiro Takeuchi, Yoshiki Suzuki, Shota Okumura, 2015, KDD.

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty

Ichiro Takeuchi, Yu Inatsu, Shogo Iwazaki, 2019, IEEE Access.

Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test

Ichiro Takeuchi, Yuta Ishikawa, I. Takeuchi, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Efficient Leave-m-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm

Ichiro Takeuchi, Masayuki Karasuyama, Ryohei Nakano, 2009, New Generation Computing.

Safe Feature Pruning for Sparse High-Order Interaction Models

Ichiro Takeuchi, Masayuki Karasuyama, Shinya Suzumura, 2015, 1506.08002.

Machine Learning Tool for Crystal Structure Predictions

Ichiro Takeuchi, Valentin Stanev, Aaron Gilad Kusne, 2020 .

Discovering combinatorial interactions in survival data

Ichiro Takeuchi, Koji Tsuda, David duVerle, 2013, Bioinform..

Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification

Masashi Sugiyama, Ichiro Takeuchi, Masashi Sugiyama, 2011, NIPS.

Density-Difference Estimation

Takafumi Kanamori, Masashi Sugiyama, Taiji Suzuki, 2012, Neural Computation.

F-017 An Efficient Algorithm for SVM-based Multivariate Two-sample Test Using Path-Following Approach and Its Application to Gene Set

Ichiro Takeuchi, Masayuki Karasuyama, Taisuke Izumi, 2011 .

Multi-parametric solution-path algorithm for instance-weighted support vector machines

Masashi Sugiyama, Ichiro Takeuchi, Masayuki Karasuyama, 2011, MLSP.

Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs pdf

Ichiro Takeuchi, Vo Nguyen Le Duy, I. Takeuchi, 2020, ArXiv.

Computing Valid P-Values for Image Segmentation by Selective Inference

Hidekata Hontani, Ichiro Takeuchi, Noriaki Hashimoto, 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Nonlinear regularization path for the modified Huber loss Support Vector Machines

Ichiro Takeuchi, Masayuki Karasuyama, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Statistical Significance Analysis of Gene Groups Using Nearest-Neighbor Classification Performance

Ichiro Takeuchi, 2008 .

Learning sparse optimal rule fit by safe screening pdf

Ichiro Takeuchi, Hiroki Kato, Hiroyuki Hanada, 2018, ArXiv.

Comparison of dissimilarity measures for cluster analysis of X-ray diffraction data from combinatorial libraries

Ichiro Takeuchi, Yuma Iwasaki, A. Gilad Kusne, 2017, npj Computational Materials.

Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2018, AAAI.

Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values pdf

Jun Sakuma, Ichiro Takeuchi, Hiroyuki Hanada, 2018, ArXiv.

Least-Squares Conditional Density Estimation

Takafumi Kanamori, Masashi Sugiyama, Taiji Suzuki, 2010, IEICE Trans. Inf. Syst..

Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions

Ichiro Takeuchi, Masayuki Karasuyama, Keiichi Inoue, 2020, Neural Computation.

Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction

Yasuo Tabei, Ichiro Takeuchi, Masayuki Karasuyama, 2019, SIGSPATIAL/GIS.

Selecting the Best in GANs Family: a Post Selection Inference Framework pdf

Kenji Fukumizu, Makoto Yamada, Ruslan Salakhutdinov, 2018, ICLR.

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator

Kenji Fukumizu, Makoto Yamada, Ruslan Salakhutdinov, 2018, ICLR.

Selective Inference for High-order Interaction Features Selected in a Stepwise Manner

Ichiro Takeuchi, Shinya Suzumura, Koji Tsuda, 2021 .

Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation pdf

Ichiro Takeuchi, Vo Nguyen Le Duy, Yu Inatsu, 2021, Annals of the Institute of Statistical Mathematics.

Active learning for distributionally robust level-set estimation pdf

Ichiro Takeuchi, Yu Inatsu, Shogo Iwazaki, 2021, ICML.

More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method

Ichiro Takeuchi, Vo Nguyen Le Duy, Kazuya Sugiyama, 2021, ICML.

Exact statistical inference for the Wasserstein distance by selective inference pdf

Ichiro Takeuchi, Vo Nguyen Le Duy, Vo Nguyen Le Duy, 2021, Annals of the Institute of Statistical Mathematics.

Root-finding Approaches for Computing Conformal Prediction Set pdf

Ichiro Takeuchi, Eugene Ndiaye, 2021, ArXiv.

Parametric Programming Approach for More Powerful and General Lasso Selective Inference

Ichiro Takeuchi, Vo Nguyen Le Duy, 2021, AISTATS.

Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference pdf

Ichiro Takeuchi, Hiroki Toda, Vo Nguyen Le Duy, 2021, ArXiv.

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization pdf

Erik Skau, Ichiro Takeuchi, Boian S. Alexandrov, 2022, ArXiv.

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming pdf

Ichiro Takeuchi, Vo Nguyen Le Duy, 2021, ArXiv.

Fast and More Powerful Selective Inference for Sparse High-order Interaction Model pdf

Ichiro Takeuchi, Koji Tsuda, Hiroyuki Hanada, 2021, AAAI.

Harnessing optoelectronic noises in a photonic generative network pdf

Ichiro Takeuchi, Changming Wu, Ruoming Peng, 2021, Science advances.

Continuation Path with Linear Convergence Rate pdf

Ichiro Takeuchi, Eugene Ndiaye, I. Takeuchi, 2021, ArXiv.

Selective Inference in Propensity Score Analysis

Ichiro Takeuchi, Yuta Umezu, Yoshiyuki Ninomiya, 2021, 2105.00416.

Bayesian Optimization for Cascade-type Multi-stage Processes pdf

Ichiro Takeuchi, Masayuki Karasuyama, Toru Ujihara, 2021, ArXiv.

Distance metric learning for graph structured data

Ichiro Takeuchi, Masayuki Karasuyama, Tomoki Yoshida, 2020, Machine Learning.

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping pdf

Cormac Toher, Corey Oses, Stefano Curtarolo, 2021, ArXiv.

Hidekata Hontani, Yusuke Ogura, Ichiro Takeuchi, 2021, ArXiv.

Understanding Colour Tuning Rules and Predicting Absorption Wavelengths of Microbial Rhodopsins by Data-Driven Machine-Learning Approach

Ichiro Takeuchi, Masayuki Karasuyama, Hideki Kandori, 2018, Scientific Reports.