Ichiro Takeuchi

According to our database1, Ichiro Takeuchi authored at least 62 papers between 1996 and 2018.

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

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Safe Grid Search with Optimal Complexity.
CoRR, 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.
CoRR, 2018

Safe Triplet Screening for Distance Metric Learning.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 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.
Machine Learning, 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
Secure Approximation Guarantee for Cryptographically Private Empirical Risk Minimization.
CoRR, 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
Homotopy Continuation Approaches for Robust SV Classification and Regression.
CoRR, 2015

Quick sensitivity analysis for incremental data modification and its application to leave-one-out CV in linear classification problems.
CoRR, 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 Computation, 2013

Discovering combinatorial interactions in survival data.
Bioinformatics, 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.
Machine Learning, 2012

Density-Difference Estimation
CoRR, 2012

Density-Difference Estimation.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

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

Suboptimal Solution Path Algorithm for Support Vector Machine
CoRR, 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

Multi-parametric solution-path algorithm for instance-weighted support vector machines.
Proceedings of the 2011 IEEE International Workshop on Machine Learning for Signal Processing, 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 Transactions, 2010

Multi-parametric Solution-path Algorithm for Instance-weighted Support Vector Machines
CoRR, 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-m-out Cross-Validation of Support Vector Regression by Generalizing Decremental Algorithm.
New Generation Comput., 2009

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

Adaptive Kernel Quantile Regression for Anomaly Detection.
JACIII, 2009

A Density-ratio Framework for Statistical Data Processing.
IPSJ Trans. Computer Vision and Applications, 2009

Multiple Incremental Decremental Learning of Support Vector Machines.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 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.
Journal of Machine Learning Research, 2006

Conditional mean estimation under asymmetric and heteroscedastic error by linear combination of quantile regressions.
Computational Statistics & Data Analysis, 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 Computation, 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

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.
Advanced 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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