Ichiro Takeuchi

According to our database1, Ichiro Takeuchi authored at least 127 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
Statistical Test for Anomaly Detections by Variational Auto-Encoders.
CoRR, 2024

Multimodal Co-orchestration for Exploring Structure-Property Relationships in Combinatorial Libraries via Multi-Task Bayesian Optimization.
CoRR, 2024

Statistical Test for Attention Map in Vision Transformer.
CoRR, 2024

2023
Efficient model selection for predictive pattern mining model by safe pattern pruning.
Patterns, December, 2023

Generalized Low-Rank Update: Model Parameter Bounds for Low-Rank Training Data Modifications.
Neural Comput., December, 2023

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.
Medical Image Anal., April, 2023

Root-finding approaches for computing conformal prediction set.
Mach. Learn., January, 2023

Safe RuleFit: Learning Optimal Sparse Rule Model by Meta Safe Screening.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Multi-agent statistical discriminative sub-trajectory mining and an application to NBA basketball.
CoRR, 2023

Selective Inference for Changepoint detection by Recurrent Neural Network.
CoRR, 2023

Multi-Objective Bayesian Optimization with Active Preference Learning.
CoRR, 2023

Posterior Sampling-Based Bayesian Optimization with Tighter Bayesian Regret Bounds.
CoRR, 2023

CAD-DA: Controllable Anomaly Detection after Domain Adaptation by Statistical Inference.
CoRR, 2023

Bounded P-values in Parametric Programming-based Selective Inference.
CoRR, 2023

Human-In-the-Loop for Bayesian Autonomous Materials Phase Mapping.
CoRR, 2023

Adaptive Defective Area Identification in Material Surface Using Active Transfer Learning-based Level Set Estimation.
CoRR, 2023

Latent Reconstruction-Aware Variational Autoencoder.
CoRR, 2023

Distributionally Robust Multi-objective Bayesian Optimization under Uncertain Environments.
CoRR, 2023

Mixing Histopathology Prototypes into Robust Slide-Level Representations for Cancer Subtyping.
Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Valid P-Value for Deep Learning-driven Salient Region.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A stopping criterion for Bayesian optimization by the gap of expected minimum simple regrets.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022
Stat-DSM: Statistically Discriminative Sub-Trajectory Mining With Multiple Testing Correction.
IEEE Trans. Knowl. Data Eng., 2022

A Generalized Framework of Multifidelity Max-Value Entropy Search Through Joint Entropy.
Neural Comput., 2022

Bayesian Optimization for Cascade-Type Multistage Processes.
Neural Comput., 2022

More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming.
J. Mach. Learn. Res., 2022

Transformer-based Personalized Attention Mechanism (PersAM) for Medical Images with Clinical Records.
CoRR, 2022

A Confidence Machine for Sparse High-Order Interaction Model.
CoRR, 2022

Benchmarking Active Learning Strategies for Materials Optimization and Discovery.
CoRR, 2022

A Low-Cost Robot Science Kit for Education with Symbolic Regression for Hypothesis Discovery and Validation.
CoRR, 2022

Exact Statistical Inference for Time Series Similarity using Dynamic Time Warping by Selective Inference.
CoRR, 2022

Subtype classification of malignant lymphoma using immunohistochemical staining pattern.
Int. J. Comput. Assist. Radiol. Surg., 2022

Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Bayesian Optimization for Distributionally Robust Chance-constrained Problem.
Proceedings of the International Conference on Machine Learning, 2022

Fast and More Powerful Selective Inference for Sparse High-Order Interaction Model.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Bayesian Quadrature Optimization for Probability Threshold Robustness Measure.
Neural Comput., 2021

Distance metric learning for graph structured data.
Mach. Learn., 2021

Continuation Path with Linear Convergence Rate.
CoRR, 2021

Bayesian Optimization for Cascade-type Multi-stage Processes.
CoRR, 2021

Physics in the Machine: Integrating Physical Knowledge in Autonomous Phase-Mapping.
CoRR, 2021

Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.
CoRR, 2021

Exact Statistical Inference for the Wasserstein Distance by Selective Inference.
CoRR, 2021

Harnessing Optoelectronic Noises in a Photonic Generative Adversarial Network (GAN).
CoRR, 2021

Case-based similar image retrieval for weakly annotated large histopathological images of malignant lymphoma using deep metric learning.
CoRR, 2021

Conditional Selective Inference for Robust Regression and Outlier Detection using Piecewise-Linear Homotopy Continuation.
CoRR, 2021

Topic Analysis of Superconductivity Literature by Semantic Non-negative Matrix Factorization.
Proceedings of the Large-Scale Scientific Computing - 13th International Conference, 2021

More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method.
Proceedings of the 38th International Conference on Machine Learning, 2021

Active Learning for Distributionally Robust Level-Set Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021

Mean-Variance Analysis in Bayesian Optimization under Uncertainty.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Parametric Programming Approach for More Powerful and General Lasso Selective Inference.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
Active Learning for Enumerating Local Minima Based on Gaussian Process Derivatives.
Neural Comput., 2020

Active Learning for Level Set Estimation Under Input Uncertainty and Its Extensions.
Neural Comput., 2020

Active Learning of Bayesian Linear Models with High-Dimensional Binary Features by Parameter Confidence-Region Estimation.
Neural Comput., 2020

More Powerful and General Selective Inference for Stepwise Feature Selection using the Homotopy Continuation Approach.
CoRR, 2020

Supervised sequential pattern mining of event sequences in sport to identify important patterns of play: an application to rugby union.
CoRR, 2020

Quantifying Statistical Significance of Neural Network Representation-Driven Hypotheses by Selective Inference.
CoRR, 2020

Parametric Programming Approach for Powerful Lasso Selective Inference without Conditioning on Signs.
CoRR, 2020

Multi-scale domain-adversarial multiple-instance CNN for cancer subtype classification with non-annotated histopathological images.
CoRR, 2020

Bayesian Experimental Design for Finding Reliable Level Set Under Input Uncertainty.
IEEE Access, 2020

Computing Valid p-value for Optimal Changepoint by Selective Inference using Dynamic Programming.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Computing Valid P-Values for Image Segmentation by Selective Inference.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Safe Triplet Screening for Distance Metric Learning.
Neural Comput., 2019

Bayesian Active Learning for Structured Output Design.
CoRR, 2019

Active learning for level set estimation under cost-dependent input uncertainty.
CoRR, 2019

Statistically Discriminative Sub-trajectory Mining.
CoRR, 2019

Multi-fidelity Bayesian Optimization with Max-value Entropy Search.
CoRR, 2019

Efficient learning algorithm for sparse subsequence pattern-based classification and applications to comparative animal trajectory data analysis.
Adv. Robotics, 2019

Comparative Sequential Pattern Mining of Human Trajectory Data Collected from a Campus-wide BLE Beacon System.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Computing Full Conformal Prediction Set with Approximate Homotopy.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Interpretable Metric between Graphs: Convex Formulation and Computation with Graph Mining.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Safe Grid Search with Optimal Complexity.
Proceedings of the 36th International Conference on Machine Learning, 2019

Post Selection Inference with Incomplete Maximum Mean Discrepancy Estimator.
Proceedings of the 7th International Conference on Learning Representations, 2019

Statistically Discriminative Sub-trajectory Mining with Multiple Testing Correction.
Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2018
AFLOW-CHULL: Cloud-Oriented Platform for Autonomous Phase Stability Analysis.
J. Chem. Inf. Model., 2018

Learning sparse optimal rule fit by safe screening.
CoRR, 2018

Interval-based Prediction Uncertainty Bound Computation in Learning with Missing Values.
CoRR, 2018

Selecting the Best in GANs Family: a Post Selection Inference Framework.
Proceedings of the 6th International Conference on Learning Representations, 2018

Finding Discriminative Animal Behaviors from Sequential Bio-Logging Trajectory Data.
Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

Post Selection Inference with Kernels.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Efficiently Monitoring Small Data Modification Effect for Large-Scale Learning in Changing Environment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Homotopy continuation approaches for robust SV classification and regression.
Mach. Learn., 2017

Stochastic Primal Dual Coordinate Method with Non-Uniform Sampling Based on Optimality Violations.
CoRR, 2017

Selective Inference for Sparse High-Order Interaction Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Privacy-preserving and Optimal Interval Release for Disease Susceptibility.
Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security, 2017

2016
Efficiently Bounding Optimal Solutions after Small Data Modification in Large-Scale Empirical Risk Minimization.
CoRR, 2016

Safe Pattern Pruning: An Efficient Approach for Predictive Pattern Mining.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Simultaneous Safe Screening of Features and Samples in Doubly Sparse Modeling.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Regularization Path of Cross-Validation Error Lower Bounds.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Quick Sensitivity Analysis for Incremental Data Modification and Its Application to Leave-one-out CV in Linear Classification Problems.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

2014
Quantitative analysis of time-course development of motion sickness caused by in-vehicle video watching.
Displays, 2014

Outlier Path: A Homotopy Algorithm for Robust SVM.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Density-Difference Estimation.
Neural Comput., 2013

Discovering combinatorial interactions in survival data.
Bioinform., 2013

Parametric Task Learning.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Global Solver and Its Efficient Approximation for Variational Bayesian Low-rank Subspace Clustering.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Development and Clinical Study of Mobile 12-Lead Electrocardiography Based on Cloud Computing for Cardiac Emergency.
Proceedings of the MEDINFO 2013, 2013

Safe Screening of Non-Support Vectors in Pathwise SVM Computation.
Proceedings of the 30th International Conference on Machine Learning, 2013

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines.
Proceedings of the 30th International Conference on Machine Learning, 2013

2012
Multi-parametric solution-path algorithm for instance-weighted support vector machines.
Mach. Learn., 2012

2011
Nonlinear Regularization Path for Quadratic Loss Support Vector Machines.
IEEE Trans. Neural Networks, 2011

Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Suboptimal Solution Path Algorithm for Support Vector Machine.
Proceedings of the 28th International Conference on Machine Learning, 2011

2010
Multiple incremental decremental learning of support vector machines.
IEEE Trans. Neural Networks, 2010

Multi-directional search from the primitive initial point for Gaussian mixture estimation using variational Bayes method.
Neural Networks, 2010

Conditional Density Estimation via Least-Squares Density Ratio Estimation.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Least-Squares Conditional Density Estimation.
IEICE Trans. Inf. Syst., 2010

Nonlinear regularization path for the modified Huber loss Support Vector Machines.
Proceedings of the International Joint Conference on Neural Networks, 2010

Detecting differentially aberrant genomic regions in multi-sample array CGH experiments using nearest-neighbor multivariate test.
Proceedings of the International Joint Conference on Neural Networks, 2010

2009
Efficient Leave-<i>m</i>-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm.
New Gener. Comput., 2009

Nonparametric Conditional Density Estimation Using Piecewise-Linear Solution Path of Kernel Quantile Regression.
Neural Comput., 2009

Adaptive Kernel Quantile Regression for Anomaly Detection.
J. Adv. Comput. Intell. Intell. Informatics, 2009

A Density-ratio Framework for Statistical Data Processing.
IPSJ Trans. Comput. Vis. Appl., 2009

Variational Bayes from the Primitive Initial Point for Gaussian Mixture Estimation.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

A Bayesian Graph Clustering Approach Using the Prior Based on Degree Distribution.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

2008
Reducing SVR Support Vectors by Using Backward Deletion.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

2006
Nonparametric Quantile Estimation.
J. Mach. Learn. Res., 2006

Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.
Comput. Stat. Data Anal., 2006

The Entire Solution Path of Kernel-based Nonparametric Conditional Quantile Estimator.
Proceedings of the International Joint Conference on Neural Networks, 2006

2003
A dynamical model for the vertical vestibuloocular reflex and optokinetic response in primate.
Neurocomputing, 2003

2002
Robust Regression with Asymmetric Heavy-Tail Noise Distributions.
Neural Comput., 2002

2001
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

2000
A description of dynamic behavior of sensory/motor systems with fuzzy symbolic dynamic systems.
Artif. Life Robotics, 2000

1998
A proposal of architecture for intelligent systems with manipulative grounded symbols.
Proceedings of the Knowledge-Based Intelligent Electronic Systems, 1998

1997
Acquisition of manipulative grounded symbols for integration of symbolic processing and stimulus-reaction type parallel processing.
Adv. Robotics, 1997

1996
An Inference Method Using Multiple Patterns and Modification of Pattern Space.
Proceedings of the Simulated Evolution and Learning, First Asia-Pacific Conference, 1996


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