Masashi Sugiyama

Proceedings of The 11th Asian Conference on Machine Learning, 2019

Dueling Bandits with Qualitative Feedback.

[BibT_eX]

[DOI]

Liyuan Xu

Junya Honda

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Clipped Matrix Completion: A Remedy for Ceiling Effects.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Unsupervised Domain Adaptation Based on Source-Guided Discrepancy.

[BibT_eX]

[DOI]

Seiichi Kuroki

Nontawat Charoenphakdee

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Bézier Simplex Fitting: Describing Pareto Fronts of Simplicial Problems with Small Samples in Multi-Objective Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Bayesian Posterior Approximation via Greedy Particle Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Convex formulation of multiple instance learning from positive and unlabeled bags.

[BibT_eX]

[DOI]

Neural Networks, 2018

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.

[BibT_eX]

[DOI]

Neural Comput., 2018

Bias Reduction and Metric Learning for Nearest-Neighbor Estimation of Kullback-Leibler Divergence.

[BibT_eX]

[DOI]

Yung-Kyun Noh

Frank Chongwoo Park

Daniel D. Lee

Neural Comput., 2018

Correction to: Semi-supervised AUC optimization based on positive-unlabeled learning.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Semi-supervised AUC optimization based on positive-unlabeled learning.

[BibT_eX]

[DOI]

Mach. Learn., 2018

Stochastic Divergence Minimization for Biterm Topic Models.

[BibT_eX]

[DOI]

Zhenghang Cui

IEICE Trans. Inf. Syst., 2018

Pumpout: A Meta Approach for Robustly Training Deep Neural Networks with Noisy Labels.

[BibT_eX]

[DOI]

CoRR, 2018

Alternate Estimation of a Classifier and the Class-Prior from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

CoRR, 2018

Matrix Co-completion for Multi-label Classification with Missing Features and Labels.

[BibT_eX]

[DOI]

CoRR, 2018

Frank-Wolfe Stein Sampling.

[BibT_eX]

[DOI]

CoRR, 2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.

[BibT_eX]

[DOI]

CoRR, 2018

On the Ambiguity of Registration Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2018

Binary Matrix Completion Using Unobserved Entries.

[BibT_eX]

[DOI]

Masayoshi Hayashi

CoRR, 2018

Using the variogram for vector outlier screening: application to feature-based image registration.

[BibT_eX]

[DOI]

Int. J. Comput. Assist. Radiol. Surg., 2018

Variational Inference for Gaussian Processes with Panel Count Data.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Uplift Modeling from Separate Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks.

[BibT_eX]

[DOI]

Yusuke Tsuzuku

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Binary Classification from Positive-Confidence Data.

[BibT_eX]

[DOI]

Takashi Ishida

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Masking: A New Perspective of Noisy Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Active Feature Acquisition with Supervised Matrix Completion.

[BibT_eX]

[DOI]

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Analysis of Minimax Error Rate for Crowdsourcing and Its Application to Worker Clustering Model.

[BibT_eX]

[DOI]

Hideaki Imamura

Proceedings of the 35th International Conference on Machine Learning, 2018

Does Distributionally Robust Supervised Learning Give Robust Classifiers?

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

Classification from Pairwise Similarity and Unlabeled Data.

[BibT_eX]

[DOI]

Han Bao

Proceedings of the 35th International Conference on Machine Learning, 2018

Learning Efficient Tensor Representations with Ring Structure Networks.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Guide Actor-Critic for Continuous Control.

[BibT_eX]

[DOI]

Abbas Abdolmaleki

Proceedings of the 6th International Conference on Learning Representations, 2018

Multi Task Learning with Positive and Unlabeled Data and its Application to Mental State Prediction.

[BibT_eX]

[DOI]

Hirotaka Kaji

Hayato Yamaguchi

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

A fully adaptive algorithm for pure exploration in linear bandits.

[BibT_eX]

[DOI]

Liyuan Xu

Junya Honda

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Variational Inference based on Robust Divergences.

[BibT_eX]

[DOI]

Futoshi Futami

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Bayesian Nonparametric Poisson-Process Allocation for Time-Sequence Modeling.

[BibT_eX]

[DOI]

Hongyi Ding

Mohammad Emtiyaz Khan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

Hierarchical Policy Search via Return-Weighted Density Estimation.

[BibT_eX]

[DOI]

Takayuki Osa

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Direct Estimation of the Derivative of Quadratic Mutual Information with Application in Supervised Dimension Reduction.

[BibT_eX]

[DOI]

Neural Comput., 2017

Homotopy continuation approaches for robust SV classification and regression.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Class-prior estimation for learning from positive and unlabeled data.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Geometry-aware principal component analysis for symmetric positive definite matrices.

[BibT_eX]

[DOI]

Inbal Horev

Mach. Learn., 2017

Introduction: special issue of selected papers from ACML 2015.

[BibT_eX]

[DOI]

Mach. Learn., 2017

Foreword: special issue for the journal track of the 8th Asian conference on machine learning (ACML 2016).

[BibT_eX]

[DOI]

Mach. Learn., 2017

Mode-Seeking Clustering and Density Ridge Estimation via Direct Estimation of Density-Derivative-Ratios.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2017

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives.

[BibT_eX]

[DOI]

Found. Trends Mach. Learn., 2017

Estimation of Squared-Loss Mutual Information from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

CoRR, 2017

Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives.

[BibT_eX]

[DOI]

CoRR, 2017

Learning Efficient Tensor Representations with Ring Structure Networks.

[BibT_eX]

[DOI]

Qibin Zhao

Andrzej Cichocki

CoRR, 2017

Misdirected Registration Uncertainty.

[BibT_eX]

[DOI]

CoRR, 2017

Learning from Complementary Labels.

[BibT_eX]

[DOI]

Takashi Ishida

CoRR, 2017

Risk Minimization Framework for Multiple Instance Learning from Positive and Unlabeled Bags.

[BibT_eX]

[DOI]

CoRR, 2017

Generative Local Metric Learning for Kernel Regression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Positive-Unlabeled Learning with Non-Negative Risk Estimator.

[BibT_eX]

[DOI]

Ryuichi Kiryo

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Learning from Complementary Labels.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Expectation Propagation for t-Exponential Family Using q-Algebra.

[BibT_eX]

[DOI]

Futoshi Futami

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Lung lesion detection in FDG-PET/CT with Gaussian process regression.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Semi-Supervised Classification Based on Classification from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Learning Discrete Representations via Information Maximizing Self-Augmented Training.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

Estimating Density Ridges by Direct Estimation of Density-Derivative-Ratios.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Least-Squares Log-Density Gradient Clustering for Riemannian Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Whitening-Free Least-Squares Non-Gaussian Component Analysis.

[BibT_eX]

[DOI]

Proceedings of The 9th Asian Conference on Machine Learning, 2017

Policy Search with High-Dimensional Context Variables.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Trial and Error: Using Previous Experiences as Simulation Models in Humanoid Motor Learning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2016

Model-based reinforcement learning with dimension reduction.

[BibT_eX]

[DOI]

Jun Morimoto

Neural Networks, 2016

Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation.

[BibT_eX]

[DOI]

Ikko Yamane

Neural Comput., 2016

Theoretical and Experimental Analyses of Tensor-Based Regression and Classification.

[BibT_eX]

[DOI]

Kishan Wimalawarne

Neural Comput., 2016

Direct Density Derivative Estimation.

[BibT_eX]

[DOI]

Neural Comput., 2016

An Online Policy Gradient Algorithm for Markov Decision Processes with Continuous States and Actions.

[BibT_eX]

[DOI]

Neural Comput., 2016

Computationally Efficient Class-Prior Estimation under Class Balance Change Using Energy Distance.

[BibT_eX]

[DOI]

Hideko Kawakubo

IEICE Trans. Inf. Syst., 2016

Beyond the Low-density Separation Principle: A Novel Approach to Semi-supervised Learning.

[BibT_eX]

[DOI]

CoRR, 2016

Theoretical Comparisons of Learning from Positive-Negative, Positive-Unlabeled, and Negative-Unlabeled Data.

[BibT_eX]

[DOI]

CoRR, 2016

Reinterpreting the Transformation Posterior in Probabilistic Image Registration.

[BibT_eX]

[DOI]

CoRR, 2016

Robust supervised learning under uncertainty in dataset shift.

[BibT_eX]

[DOI]

Weihua Hu

CoRR, 2016

Dependence maximization localization: a novel approach to 2D street-map-based robot localization.

[BibT_eX]

[DOI]

Kiyoshi Irie

Masahiro Tomono

Adv. Robotics, 2016

Faster Stochastic Variational Inference using Proximal-Gradient Methods with General Divergence Functions.

[BibT_eX]

[DOI]

Mohammad Emtiyaz Khan

Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Semi-supervised sufficient dimension reduction under class-prior change.

[BibT_eX]

[DOI]

Hideko Kawakubo

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2016

Theoretical Comparisons of Positive-Unlabeled Learning against Positive-Negative Learning.

[BibT_eX]

[DOI]

Yao Ma

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Modal Regression via Direct Log-Density Derivative Estimation.

[BibT_eX]

[DOI]

Yurina Ono

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Structure Learning of Partitioned Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the 33nd International Conference on Machine Learning, 2016

Target-less camera-LiDAR extrinsic calibration using a bagged dependence estimator.

[BibT_eX]

[DOI]

Kiyoshi Irie

Masahiro Tomono

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2016

Non-Gaussian Component Analysis with Log-Density Gradient Estimation.

[BibT_eX]

[DOI]

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Multitask Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of The 8th Asian Conference on Machine Learning, 2016

Geometry-aware stationary subspace analysis.

[BibT_eX]

[DOI]

Inbal Horev

Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015

Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Proceedings of the Recommender Systems Handbook, 2015

Importance-weighted covariance estimation for robust common spatial pattern.

[BibT_eX]

[DOI]

Alessandro Balzi

Pattern Recognit. Lett., 2015

Cross-Domain Matching with Squared-Loss Mutual Information.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2015

Bandit-Based Task Assignment for Heterogeneous Crowdsourcing.

[BibT_eX]

[DOI]

Hao Zhang

Yao Ma

Neural Comput., 2015

Conditional Density Estimation with Dimensionality Reduction via Squared-Loss Conditional Entropy Minimization.

[BibT_eX]

[DOI]

Ning Xie

Neural Comput., 2015

Online Direct Density-Ratio Estimation Applied to Inlier-Based Outlier Detection.

[BibT_eX]

[DOI]

Hiroaki Shiino

Neural Comput., 2015

Direct conditional probability density estimation with sparse feature selection.

[BibT_eX]

[DOI]

Motoki Shiga

Mach. Learn., 2015

Introduction: special issue of selected papers of ACML 2013.

[BibT_eX]

[DOI]

Mach. Learn., 2015

Condition for perfect dimensionality recovery by variational Bayesian PCA.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2015

Direct Density Ratio Estimation with Convolutional Neural Networks with Application in Outlier Detection.

[BibT_eX]

[DOI]

Hyun Ha Nam

IEICE Trans. Inf. Syst., 2015

Supervised LogEuclidean Metric Learning for Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

CoRR, 2015

Online Markov decision processes with policy iteration.

[BibT_eX]

[DOI]

Yao Ma

Hao Zhang

CoRR, 2015

Convergence of Proximal-Gradient Stochastic Variational Inference under Non-Decreasing Step-Size Sequence.

[BibT_eX]

[DOI]

Mohammad Emtiyaz Khan

CoRR, 2015

Task selection for bandit-based task assignment in heterogeneous crowdsourcing.

[BibT_eX]

[DOI]

Hao Zhang

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2015

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries.

[BibT_eX]

[DOI]

Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

A dependence maximization approach towards street map-based localization.

[BibT_eX]

[DOI]

Kiyoshi Irie

Masahiro Tomono

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Stroke-Based Stylization Learning and Rendering with Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Convex Formulation for Learning from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the 32nd International Conference on Machine Learning, 2015

Minimum dependency key frames selection via quadratic mutual information.

[BibT_eX]

[DOI]

Janya Sainui

Proceedings of the Tenth International Conference on Digital Information Management, 2015

Averaging covariance matrices for EEG signal classification based on the CSP: An empirical study.

[BibT_eX]

[DOI]

Fabien Lotte

Proceedings of the 23rd European Signal Processing Conference, 2015

Direct Density-Derivative Estimation and Its Application in KL-Divergence Approximation.

[BibT_eX]

[DOI]

Yung-Kyun Noh

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation.

[BibT_eX]

[DOI]

Proceedings of The 7th Asian Conference on Machine Learning, 2015

Sufficient Dimension Reduction via Direct Estimation of the Gradients of Logarithmic Conditional Densities.

[BibT_eX]

[DOI]

Proceedings of The 7th Asian Conference on Machine Learning, 2015

Continuous Target Shift Adaptation in Supervised Learning.

[BibT_eX]

[DOI]

Tuan Duong Nguyen

Proceedings of The 7th Asian Conference on Machine Learning, 2015

Support Consistency of Direct Sparse-Change Learning in Markov Networks.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Statistical Reinforcement Learning - Modern Machine Learning Approaches.

[BibT_eX]

Chapman and Hall / CRC machine learning and pattern recognition series, CRC Press, ISBN: 978-1-439-85689-5, 2015

2014

A least-squares approach to anomaly detection in static and sequential data.

[BibT_eX]

[DOI]

John A. Quinn

Pattern Recognit. Lett., 2014

Model-based policy gradients with parameter-based exploration by least-squares conditional density estimation.

[BibT_eX]

[DOI]

Neural Networks, 2014

Semi-supervised learning of class balance under class-prior change by distribution matching.

[BibT_eX]

[DOI]

Neural Networks, 2014

Semi-supervised information-maximization clustering.

[BibT_eX]

[DOI]

Daniele Calandriello

Neural Networks, 2014

High-Dimensional Feature Selection by Feature-Wise Kernelized Lasso.

[BibT_eX]

[DOI]

Neural Comput., 2014

Information-Maximization Clustering Based on Squared-Loss Mutual Information.

[BibT_eX]

[DOI]

Neural Comput., 2014

Information-Theoretic Semi-Supervised Metric Learning via Entropy Regularization.

[BibT_eX]

[DOI]

Neural Comput., 2014

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.

[BibT_eX]

[DOI]

Neural Comput., 2014

Least-squares independence regression for non-linear causal inference under non-Gaussian noise.

[BibT_eX]

[DOI]

Ildefons Magrans de Abril

Jun Sese

Mach. Learn., 2014

Tree-Based Ensemble Multi-Task Learning Method for Classification and Regression.

[BibT_eX]

[DOI]

Jaak Simm

IEICE Trans. Inf. Syst., 2014

Computationally Efficient Estimation of Squared-Loss Mutual Information with Multiplicative Kernel Models.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2014

Unsupervised Dimension Reduction via Least-Squares Quadratic Mutual Information.

[BibT_eX]

[DOI]

Janya Sainui

IEICE Trans. Inf. Syst., 2014

Class Prior Estimation from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2014

Constrained Least-Squares Density-Difference Estimation.

[BibT_eX]

[DOI]

Tuan Duong Nguyen

IEICE Trans. Inf. Syst., 2014

Statistical Analysis of Distance Estimators with Density Differences and Density Ratios.

[BibT_eX]

[DOI]

Entropy, 2014

Efficient Reuse of Previous Experiences to Improve Policies in Real Environment.

[BibT_eX]

[DOI]

CoRR, 2014

Support vector comparison machines.

[BibT_eX]

[DOI]

Toby Dylan Hocking

Supaporn Spanurattana

CoRR, 2014

Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density.

[BibT_eX]

[DOI]

Aapo Hyvärinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Multitask learning meets tensor factorization: task imputation via convex optimization.

[BibT_eX]

[DOI]

Kishan Wimalawarne

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analysis of Learning from Positive and Unlabeled Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Outlier Path: A Homotopy Algorithm for Robust SVM.

[BibT_eX]

[DOI]

Proceedings of the 31th International Conference on Machine Learning, 2014

Transductive Learning with Multi-class Volume Approximation.

[BibT_eX]

[DOI]

Bo Dai

Proceedings of the 31th International Conference on Machine Learning, 2014

Efficient reuse of previous experiences in humanoid motor learning.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE-RAS International Conference on Humanoid Robots, 2014

Analysis of Empirical MAP and Empirical Partially Bayes: Can They be Alternatives to Variational Bayes?

[BibT_eX]

[DOI]

Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics, 2014

2013

Change-point detection in time-series data by relative density-ratio estimation.

[BibT_eX]

[DOI]

Neural Networks, 2013

Efficient Sample Reuse in Policy Gradients with Parameter-Based Exploration.

[BibT_eX]

[DOI]

Neural Comput., 2013

Relative Density-Ratio Estimation for Robust Distribution Comparison.

[BibT_eX]

[DOI]

Neural Comput., 2013

Sufficient Dimension Reduction via Squared-Loss Mutual Information Estimation.

[BibT_eX]

[DOI]

Neural Comput., 2013

Density-Difference Estimation.

[BibT_eX]

[DOI]

Ichiro Takeuchi

Neural Comput., 2013

Variational Bayesian sparse additive matrix factorization.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Computational complexity of kernel-based density-ratio estimation: a condition number analysis.

[BibT_eX]

[DOI]

Mach. Learn., 2013

Maximum volume clustering: a new discriminative clustering approach.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Global analytic solution of fully-observed variational Bayesian matrix factorization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2013

Direct Divergence Approximation between Probability Distributions and Its Applications in Machine Learning.

[BibT_eX]

[DOI]

J. Comput. Sci. Eng., 2013

Detection of Activities and Events without Explicit Categorization.

[BibT_eX]

[DOI]

Masao Yamanaka

Masakazu Matsugu

Inf. Media Technol., 2013

Salient Object Detection Based on Direct Density-ratio Estimation.

[BibT_eX]

[DOI]

Masao Yamanaka

Masakazu Matsugu

Inf. Media Technol., 2013

Designing Various Multivariate Analysis at Will via Generalized Pairwise Expression.

[BibT_eX]

[DOI]

Inf. Media Technol., 2013

SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations.

[BibT_eX]

[DOI]

Inf. Media Technol., 2013

Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting.

[BibT_eX]

[DOI]

Ning Xie

IEICE Trans. Inf. Syst., 2013

Direct Approximation of Quadratic Mutual Information and Its Application to Dependence-Maximization Clustering.

[BibT_eX]

[DOI]

Janya Sainui

IEICE Trans. Inf. Syst., 2013

Computationally Efficient Multi-Label Classification by Least-Squares Probabilistic Classifiers.

[BibT_eX]

[DOI]

Hyun Ha Nam

IEICE Trans. Inf. Syst., 2013

Feature Selection via l1-Penalized Squared-Loss Mutual Information.

[BibT_eX]

[DOI]

Wittawat Jitkrittum

Ildefons Magrans de Abril

IEICE Trans. Inf. Syst., 2013

Winning the Kaggle Algorithmic Trading Challenge with the Composition of Many Models and Feature Engineering.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2013

Machine Learning with Squared-Loss Mutual Information.

[BibT_eX]

[DOI]

Entropy, 2013

Noise adaptive optimization of matrix initialization for frequency-domain independent component analysis.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances

[BibT_eX]

[DOI]

CoRR, 2013

Density Ratio Hidden Markov Models

[BibT_eX]

[DOI]

John A. Quinn

CoRR, 2013

Clustering Unclustered Data: Unsupervised Binary Labeling of Two Datasets Having Different Class Balances.

[BibT_eX]

[DOI]

Proceedings of the Conference on Technologies and Applications of Artificial Intelligence, 2013

Direct Learning of Sparse Changes in Markov Networks by Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Parametric Task Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Machine Learning, 2013

Direct Approximation of Divergences Between Probability Distributions.

[BibT_eX]

[DOI]

Proceedings of the Empirical Inference - Festschrift in Honor of Vladimir N. Vapnik, 2013

Divergence estimation for machine learning and signal processing.

[BibT_eX]

[DOI]

Proceedings of the International Winter Workshop on Brain-Computer Interface, 2013

2012

f-Divergence Estimation and Two-Sample Homogeneity Test Under Semiparametric Density-Ratio Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2012

Introduction to the Special Section on the 2nd Asia Conference on Machine Learning (ACML 2010).

[BibT_eX]

[DOI]

Qiang Yang

ACM Trans. Intell. Syst. Technol., 2012

Sequential change-point detection based on direct density-ratio estimation.

[BibT_eX]

[DOI]

Yoshinobu Kawahara

Stat. Anal. Data Min., 2012

Analysis and improvement of policy gradient estimation.

[BibT_eX]

[DOI]

Neural Networks, 2012

Improving importance estimation in pool-based batch active learning for approximate linear regression.

[BibT_eX]

[DOI]

Nozomi Kurihara

Neural Networks, 2012

Canonical dependency analysis based on squared-loss mutual information.

[BibT_eX]

[DOI]

Masayuki Karasuyama

Neural Networks, 2012

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

[BibT_eX]

[DOI]

Mach. Learn., 2012

Statistical analysis of kernel-based least-squares density-ratio estimation.

[BibT_eX]

[DOI]

Mach. Learn., 2012

Fast Learning Rate of Multiple Kernel Learning: Trade-Off between Sparsity and Smoothness.

[BibT_eX]

[DOI]

Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Sparse Additive Matrix Factorization for Robust PCA and Its Generalization.

[BibT_eX]

[DOI]

Proceedings of the 4th Asian Conference on Machine Learning, 2012

Importance-weighted least-squares probabilistic classifier for covariate shift adaptation with application to human activity recognition.

[BibT_eX]

[DOI]

Naonori Ueda

Neurocomputing, 2012

On Kernel Parameter Selection in Hilbert-Schmidt Independence Criterion.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2012

Multi-Task Approach to Reinforcement Learning for Factored-State Markov Decision Problems.

[BibT_eX]

[DOI]

Jaak Simm

IEICE Trans. Inf. Syst., 2012

Early Stopping Heuristics in Pool-Based Incremental Active Learning for Least-Squares Probabilistic Classifier.

[BibT_eX]

[DOI]

Tsubasa Kobayashi

IEICE Trans. Inf. Syst., 2012

Feature Selection via L1-Penalized Squared-Loss Mutual Information

[BibT_eX]

[DOI]

Wittawat Jitkrittum

CoRR, 2012

Dependence Maximizing Temporal Alignment via Squared-Loss Mutual Information

[BibT_eX]

[DOI]

CoRR, 2012

High-Dimensional Feature Selection by Feature-Wise Non-Linear Lasso

[BibT_eX]

[DOI]

CoRR, 2012

Perfect Dimensionality Recovery by Variational Bayesian PCA.

[BibT_eX]

[DOI]

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

Designing various component analysis at will.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Computationally efficient multi-label classification by least-squares probabilistic classifier.

[BibT_eX]

[DOI]

Hyun Ha Nam

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Machine Learning in Non-Stationary Environments - Introduction to Covariate Shift Adaptation.

[BibT_eX]

[DOI]

Adaptive computation and machine learning, MIT Press, ISBN: 978-0-262-01709-1, 2012

Density Ratio Estimation in Machine Learning.

[BibT_eX]

[DOI]

Cambridge University Press, ISBN: 978-0-521-19017-6, 2012

2011

Active Learning in Recommender Systems.

[BibT_eX]

[DOI]

Dain Kaplan

Proceedings of the Recommender Systems Handbook, 2011

Direct density-ratio estimation with dimensionality reduction via least-squares hetero-distributional subspace search.

[BibT_eX]

[DOI]

Neural Networks, 2011

Least-squares two-sample test.

[BibT_eX]

[DOI]

Neural Networks, 2011

Least-Squares Independent Component Analysis.

[BibT_eX]

[DOI]

Neural Comput., 2011

Reward-Weighted Regression with Sample Reuse for Direct Policy Search in Reinforcement Learning.

[BibT_eX]

[DOI]

Jan Peters

Neural Comput., 2011

Statistical outlier detection using direct density ratio estimation.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2011

Cross-Domain Object Matching with Model Selection.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Suffcient Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 3rd Asian Conference on Machine Learning, 2011

A Refined Margin Analysis for Boosting Algorithms via Equilibrium Margin.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Super-Linear Convergence of Dual Augmented Lagrangian Algorithm for Sparsity Regularized Estimation.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Maximum Volume Clustering.

[BibT_eX]

[DOI]

Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Theoretical Analysis of Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2011

Dependence-Maximization Clustering with Least-Squares Mutual Information.

[BibT_eX]

[DOI]

Manabu Kimura

J. Adv. Comput. Intell. Intell. Informatics, 2011

Computationally Efficient Multi-task Learning with Least-squares Probabilistic Classifiers.

[BibT_eX]

[DOI]

Jaak Simm

Tsuyoshi Kato

IPSJ Trans. Comput. Vis. Appl., 2011

Improving the Accuracy of Least-Squares Probabilistic Classifiers.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

Lighting Condition Adaptation for Perceived Age Estimation.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

Least-Squares Independence Test.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

Foreword.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2011

Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification.

[BibT_eX]

[DOI]

Ichiro Takeuchi

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

Global Solution of Fully-Observed Variational Bayesian Matrix Factorization is Column-Wise Independent.

[BibT_eX]

[DOI]

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

On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution.

[BibT_eX]

[DOI]

Proceedings of the 28th International Conference on Machine Learning, 2011

Automatic audio tag classification via semi-supervised canonical density estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Multi-race age estimation based on the combination of multiple classifiers.

[BibT_eX]

[DOI]

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Direct Density-Ratio Estimation with Dimensionality Reduction via Hetero-Distributional Subspace Analysis.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

Trajectory Regression on Road Networks.

[BibT_eX]

[DOI]

Tsuyoshi Idé

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Conic Programming for Multitask Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2010

Application of Covariate Shift Adaptation Techniques in Brain-Computer Interfaces.

[BibT_eX]

[DOI]

IEEE Trans. Biomed. Eng., 2010

Semi-supervised speaker identification under covariate shift.

[BibT_eX]

[DOI]

Tomoko Matsui

Signal Process., 2010

Dimensionality reduction for density ratio estimation in high-dimensional spaces.

[BibT_eX]

[DOI]

Pui Ling Chui

Neural Networks, 2010

Efficient exploration through active learning for value function approximation in reinforcement learning.

[BibT_eX]

[DOI]

Takayuki Akiyama

Neural Networks, 2010

Semi-supervised local Fisher discriminant analysis for dimensionality reduction.

[BibT_eX]

[DOI]

Mach. Learn., 2010

Single versus Multiple Sorting in All Pairs Similarity Search.

[BibT_eX]

[DOI]

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Preface.

[BibT_eX]

[DOI]

Qiang Yang

Proceedings of the 2nd Asian Conference on Machine Learning, 2010

Conditional Density Estimation via Least-Squares Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Output Divergence Criterion for Active Learning in Collaborative Settings.

[BibT_eX]

[DOI]

Inf. Media Technol., 2010

A Transfer Learning Approach and Selective Integration of Multiple Types of Assays for Biological Network Inference.

[BibT_eX]

[DOI]

Int. J. Knowl. Discov. Bioinform., 2010

Direct Importance Estimation with a Mixture of Probabilistic Principal Component Analyzers.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

A Semi-Supervised Approach to Perceived Age Prediction from Face Images.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Least-Squares Conditional Density Estimation.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Least Absolute Policy Iteration-A Robust Approach to Value Function Approximation.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Superfast-Trainable Multi-Class Probabilistic Classifier by Least-Squares Posterior Fitting.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2010

Spectral Methods for Thesaurus Construction.

[BibT_eX]

[DOI]

Nobuyuki Shimizu

Hiroshi Nakagawa

IEICE Trans. Inf. Syst., 2010

Theoretical Analysis of Density Ratio Estimation.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2010

Semi-supervised Estimation of Perceived Age from Face Images.

[BibT_eX]

Proceedings of the VISAPP 2010 - Proceedings of the Fifth International Conference on Computer Vision Theory and Applications, Angers, France, May 17-21, 2010, 2010

Parametric Return Density Estimation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the UAI 2010, 2010

Direct Density Ratio Estimation with Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2010

Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Global Analytic Solution for Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Implicit Regularization in Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Nonparametric Return Distribution Approximation for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Acceleration of sequence kernel computation for real-time speaker identification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Direct importance estimation with probabilistic principal component analyzers.

[BibT_eX]

[DOI]

Gordon Wichern

Proceedings of the IEEE International Conference on Acoustics, 2010

Automatic audio tagging using covariate shift adaptation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Dependence Minimizing Regression with Model Selection for Non-Linear Causal Inference under Non-Gaussian Noise.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Robust Label Propagation on Multiple Networks.

[BibT_eX]

[DOI]

Tsuyoshi Kato

Hisashi Kashima

IEEE Trans. Neural Networks, 2009

Dual-Augmented Lagrangian Method for Efficient Sparse Reconstruction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2009

Adaptive importance sampling for value function approximation in off-policy reinforcement learning.

[BibT_eX]

[DOI]

Neural Networks, 2009

On Generalization Performance and Non-Convex Optimization of Extended nu-Support Vector Machine.

[BibT_eX]

[DOI]

Akiko Takeda

New Gener. Comput., 2009

Theory and Algorithm for Learning with Dissimilarity Functions.

[BibT_eX]

[DOI]

Neural Comput., 2009

Pool-based active learning in approximate linear regression.

[BibT_eX]

[DOI]

Mach. Learn., 2009

Lanczos Approximations for the Speedup of Kernel Partial Least Squares Regression.

[BibT_eX]

[DOI]

Nicole Krämer

Mikio L. Braun

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A Least-squares Approach to Direct Importance Estimation.

[BibT_eX]

[DOI]

Shohei Hido

J. Mach. Learn. Res., 2009

Direct Density Ratio Estimation for Large-scale Covariate Shift Adaptation.

[BibT_eX]

[DOI]

J. Inf. Process., 2009

A Density-ratio Framework for Statistical Data Processing.

[BibT_eX]

[DOI]

IPSJ Trans. Comput. Vis. Appl., 2009

Direct Importance Estimation with Gaussian Mixture Models.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2009

On Computational Issues of Semi-Supervised Local Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2009

Recent Advances and Trends in Large-Scale Kernel Methods.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2009

Efficient Construction of Neighborhood Graphs by the Multiple Sorting Method

[BibT_eX]

[DOI]

Takeaki Uno

Koji Tsuda

CoRR, 2009

Mutual information estimation reveals global associations between stimuli and biological processes.

[BibT_eX]

[DOI]

BMC Bioinform., 2009

Simultaneous inference of biological networks of multiple species from genome-wide data and evolutionary information: a semi-supervised approach.

[BibT_eX]

[DOI]

Bioinform., 2009

Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation.

[BibT_eX]

[DOI]

Yoshinobu Kawahara

Proceedings of the SIAM International Conference on Data Mining, 2009

Link Propagation: A Fast Semi-supervised Learning Algorithm for Link Prediction.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2009

Efficient Sample Reuse in EM-Based Policy Search.

[BibT_eX]

[DOI]

Jan Peters

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Analysis of Variational Bayesian Matrix Factorization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

Mutual information approximation via maximum likelihood estimation of density ratio.

[BibT_eX]

[DOI]

Toshiyuki Tanaka

Proceedings of the IEEE International Symposium on Information Theory, 2009

Probabilistic principal component analysis based on JoyStick Probability Selector.

[BibT_eX]

[DOI]

Marko V. Jankovic

Proceedings of the International Joint Conference on Neural Networks, 2009

Active Policy Iteration: Efficient Exploration through Active Learning for Value Function Approximation in Reinforcement Learning.

[BibT_eX]

[DOI]

Takayuki Akiyama

Proceedings of the IJCAI 2009, 2009

Estimating Squared-Loss Mutual Information for Independent Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Signal Separation, 2009

Least absolute policy iteration for robust value function approximation.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Covariate shift adaptation for semi-supervised speaker identification.

[BibT_eX]

[DOI]

Tomoko Matsui

Proceedings of the IEEE International Conference on Acoustics, 2009

A Framework of Adaptive Brain Computer Interfaces.

[BibT_eX]

[DOI]

Yan Li

Yasuharu Koike

Proceedings of the 2nd International Conference on BioMedical Engineering and Informatics, 2009

Efficient data reuse in value function approximation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009

Density Ratio Estimation: A New Versatile Tool for Machine Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Machine Learning, 2009

2008

A Multipurpose Linear Component Analysis Method Based on Modulated Hebb-Oja Learning Rule.

[BibT_eX]

[DOI]

Marko V. Jankovic

IEEE Signal Process. Lett., 2008

A batch ensemble approach to active learning with model selection.

[BibT_eX]

[DOI]

Neural Networks, 2008

Approximating Mutual Information by Maximum Likelihood Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the Third Workshop on New Challenges for Feature Selection in Data Mining and Knowledge Discovery, 2008

Approximating the Best Linear Unbiased Estimator of Non-Gaussian Signals with Gaussian Noise.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2008

Geodesic Gaussian kernels for value function approximation.

[BibT_eX]

[DOI]

Auton. Robots, 2008

Active Learning with Model Selection in Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

Integration of Multiple Networks for Robust Label Propagation.

[BibT_eX]

[DOI]

Tsuyoshi Kato

Hisashi Kashima

Proceedings of the SIAM International Conference on Data Mining, 2008

Pool-Based Agnostic Experiment Design in Linear Regression.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

Efficient Direct Density Ratio Estimation for Non-stationarity Adaptation and Outlier Detection.

[BibT_eX]

[DOI]

Shohei Hido

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Order Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Large-Scale Knowledge Resources. Construction and Application, 2008

nu-support vector machine as conditional value-at-risk minimization.

[BibT_eX]

[DOI]

Akiko Takeda

Proceedings of the Machine Learning, 2008

Inlier-Based Outlier Detection via Direct Density Ratio Estimation.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

On the Margin Explanation of Boosting Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 21st Annual Conference on Learning Theory, 2008

Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007

Covariate Shift Adaptation by Importance Weighted Cross Validation.

[BibT_eX]

[DOI]

Matthias Krauledat

J. Mach. Learn. Res., 2007

Dimensionality Reduction of Multimodal Labeled Data by Local Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2007

Generalization Error Estimation for Non-linear Learning Methods.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

A New Meta-Criterion for Regularized Subspace Information Criterion.

[BibT_eX]

[DOI]

Yasushi Hidaka

IEICE Trans. Inf. Syst., 2007

Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion.

[BibT_eX]

[DOI]

Shun Gokita

Keisuke Sakurai

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2007

Influence-based collaborative active learning.

[BibT_eX]

[DOI]

Proceedings of the 2007 ACM Conference on Recommender Systems, 2007

Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Multi-Task Learning via Conic Programming.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Value Function Approximation on Non-Linear Manifolds for Robot Motor Control.

[BibT_eX]

[DOI]

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Asymptotic Bayesian generalization error when training and test distributions are different.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2007

2006

Active Learning in Approximately Linear Regression Based on Conditional Expectation of Generalization Error.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

In Search of Non-Gaussian Components of a High-Dimensional Distribution.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2006

Analytic Optimization of Shrinkage Parameters Based on Regularized Subspace Information Criterion.

[BibT_eX]

[DOI]

Keisuke Sakurai

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2006

Constructing Kernel Functions for Binary Regression.

[BibT_eX]

[DOI]

IEICE Trans. Inf. Syst., 2006

Model Selection Using a Class of Kernels with an Invariant Metric.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2006

Mixture Regression for Covariate Shift.

[BibT_eX]

[DOI]

Amos J. Storkey

Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Local Fisher discriminant analysis for supervised dimensionality reduction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2006

Obtaining the Best Linear Unbiased Estimator of Noisy Signals by Non-Gaussian Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Novel Dimension Reduction Procedure for Searching Non-Gaussian Subspaces.

[BibT_eX]

[DOI]

Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Importance-Weighted Cross-Validation for Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition, 2006

2005

Active Learning for Misspecified Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Non-Gaussian Component Analysis: a Semi-parametric Framework for Linear Dimension Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Model Selection Under Covariate Shift.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks: Formal Models and Their Applications, 2005

2004

Trading Variance Reduction with Unbiasedness: The Regularized Subspace Information Criterion for Robust Model Selection in Kernel Regression.

[BibT_eX]

[DOI]

Neural Comput., 2004

Estimating the error at given test input points for linear regression.

[BibT_eX]

Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2004

Regularizing generalization error estimators: a novel approach to robust model selection.

[BibT_eX]

[DOI]

Proceedings of the 12th European Symposium on Artificial Neural Networks, 2004

2003

Improving Precision of the Subspace Information Criterion.

[BibT_eX]

[DOI]

IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003

2002

Subspace information criterion for nonquadratic regularizers-Model selection for sparse regressors.

[BibT_eX]

[DOI]

Koji Tsuda

IEEE Trans. Neural Networks, 2002

A unified method for optimizing linear image restoration filters.

[BibT_eX]

[DOI]

Signal Process., 2002

Optimal design of regularization term and regularization parameter by subspace information criterion.

[BibT_eX]

[DOI]

Neural Networks, 2002

Theoretical and Experimental Evaluation of the Subspace Information Criterion.

[BibT_eX]

[DOI]

Mach. Learn., 2002

The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces.

[BibT_eX]

[DOI]

J. Mach. Learn. Res., 2002

Selecting Ridge Parameters in Infinite Dimensional Hypothesis Spaces.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks, 2002

2001

Properties of incremental projection learning.

[BibT_eX]

[DOI]

Neural Networks, 2001

Incremental projection learning for optimal generalization.

[BibT_eX]

[DOI]

Neural Networks, 2001

Incremental Active Learning for Optimal Generalization.

[BibT_eX]

[DOI]

Neural Comput., 2001

Subspace Information Criterion for Model Selection.

[BibT_eX]

[DOI]

Neural Comput., 2001

2000

Incremental Active Learning with Bias Reduction.

[BibT_eX]

[DOI]

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

A new information criterion for the selection of subspace models.

[BibT_eX]

[DOI]

Proceedings of the 8th European Symposium on Artificial Neural Networks, 2000

1999

Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks.

[BibT_eX]

[DOI]