List of works - Masashi Sugiyama

A batch ensemble approach to active learning with model selection

scientific article

Active Learning for Misspecified Models ⬇️

scientific article published in January 2006

Active Learning in Recommender Systems

scholarly article published 2015

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

scientific article

Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring ⬇️

Analysis and Improvement of Policy Gradient Estimation ⬇️

scientific article published in January 2011

Analysis and improvement of policy gradient estimation

scientific article published in October 2011

Analysis of Learning from Positive and Unlabeled Data ⬇️

scientific article published in January 2014

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

scientific article published in January 2014

Application of covariate shift adaptation techniques in brain-computer interfaces

scientific article

Are Anchor Points Really Indispensable in Label-Noise Learning? ⬇️

Automatic parameter optimization of the local model fitting method for single-shot surface profiling ⬇️

scientific article published on July 20, 2011

Bandit-Based Task Assignment for Heterogeneous Crowdsourcing.

scientific article published on 17 September 2015

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

scientific article published on 14 June 2018

Binary Classification from Positive-Confidence Data ⬇️

Canonical dependency analysis based on squared-loss mutual information

scientific article published on 11 July 2012

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

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

scientific article

Classification from Triplet Comparison Data

scientific article published on 17 January 2020

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

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

Conditional density estimation with dimensionality reduction via squared-loss conditional entropy minimization

scientific article published in January 2015

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

Convex formulation of multiple instance learning from positive and unlabeled bags

scientific article published on 24 May 2018

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators ⬇️

scientific article published in November 2020

Cross-Domain Matching with Squared-Loss Mutual Information

scientific article published on September 2015

Deep learning, reinforcement learning, and world models

scientific article published in 2022

Density-Difference Estimation ⬇️

scientific article published in January 2012

Density-difference estimation

scientific article published on 18 June 2013

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

journal article; published in Advanced Robotics in 2016

Dimensionality reduction for density ratio estimation in high-dimensional spaces

scientific article published on 18 July 2009

Direct Density Derivative Estimation

scientific article published on 3 May 2016

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

scientific article published on 09 June 2017

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

scientific article published in January 2008

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

scientific article published on October 21, 2010

Direct learning of sparse changes in Markov networks by density ratio estimation

scientific article published on 31 March 2014

Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information

scientific article published in 2022

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning ⬇️

scientific article published in November 2020

ECG-Based Concentration Recognition With Multi-Task Regression

scientific article published on 26 April 2018

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

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

scientific article published on 11 January 2010

Efficient sample reuse in policy gradients with parameter-based exploration

scientific article published on 21 March 2013

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

scientific article published in January 2017

Generative Local Metric Learning for Kernel Regression ⬇️

scientific article published in January 2017

Global Analytic Solution for Variational Bayesian Matrix Factorization ⬇️

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

scientific article published in January 2011

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

scientific article published in January 2013

Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study.

scientific article

High-dimensional feature selection by feature-wise kernelized Lasso

scientific article published on 8 October 2013

Improved algorithm for multiwavelength single-shot interferometric surface profiling: speeding up the multiwavelength-integrated local model fitting method by local information sharing

scientific article published in June 2013

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

scientific article published on 23 September 2012

Information-Theoretic Representation Learning for Positive-Unlabeled Classification

scientific article published on 20 October 2020

Information-maximization clustering based on squared-loss mutual information

scientific article published on 8 October 2013

Information-theoretic semi-supervised metric learning via entropy regularization

scientific article published on 30 May 2014

Interpolated local model fitting method for accurate and fast single-shot surface profiling

scientific article published in June 2009

Introduction: special issue of selected papers of ACML 2013

Iteratively-reweighted local model fitting method for adaptive and accurate single-shot surface profiling ⬇️

scientific article published on August 1, 2010

Learning from Aggregate Observations ⬇️

Learning from Complementary Labels ⬇️

scientific article published in January 2017

Least-Squares Independent Component Analysis ⬇️

scientific article published on October 21, 2010

Least-squares two-sample test ⬇️

scientific article published on April 28, 2011

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

Masking: A New Perspective of Noisy Supervision ⬇️

article by Bo Han et al published 2018 in Advances in Neural Information Processing Systems 31

Millionaire: a hint-guided approach for crowdsourcing

scientific article published on 19 December 2018

Mixture Regression for Covariate Shift ⬇️

scientific article published in January 2007

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

scientific article published on 21 June 2014

Model-based reinforcement learning with dimension reduction

scientific article

Multi-Task Learning via Conic Programming ⬇️

scientific article published in January 2008

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

scientific article published in January 2014

Multiwavelength-integrated local model fitting method for interferometric surface profiling

scientific article published in October 2012

Mutual information estimation reveals global associations between stimuli and biological processes

scientific article

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

scientific article published in January 2006

On the Calibration of Multiclass Classification with Rejection ⬇️

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

scientific article published on 10 July 2015

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

scientific article published in April 2002

Parametric Task Learning ⬇️

Part-dependent Label Noise: Towards Instance-dependent Label Noise ⬇️

article by Xiaobo Xia et al published November 2020 in Advances in Neural Information Processing Systems 33

Perfect Dimensionality Recovery by Variational Bayesian PCA ⬇️

scientific article published in January 2012

Polynomial-Time Algorithms for Multiple-Arm Identification with Full-Bandit Feedback

scientific article published on 20 July 2020

Positive-Unlabeled Learning with Non-Negative Risk Estimator ⬇️

scientific article published in January 2017

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

Provably Consistent Partial-Label Learning ⬇️

scientific article published in November 2020

Regularized Multitask Learning for Multidimensional Log-Density Gradient Estimation

scientific article published on 12 May 2016

Relative Density-Ratio Estimation for Robust Distribution Comparison ⬇️

scientific article published in January 2011

Relative density-ratio estimation for robust distribution comparison

scientific article published in May 2013

Rethinking Importance Weighting for Deep Learning under Distribution Shift ⬇️

scientific article published in November 2020

Reward-weighted regression with sample reuse for direct policy search in reinforcement learning

scientific article published on 18 August 2011

Robust label propagation on multiple networks

scientific article published on 12 December 2008

Semi-supervised information-maximization clustering

scientific article published on 4 June 2014

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

scientific article published on 18 November 2013

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

scientific article

Single-shot surface profiling by local model fitting

scientific article published in November 2006

Stochastic Multichannel Ranking with Brain Dynamics Preferences

scientific article published on 10 June 2020

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

scientific article published on 21 November 2017

Sufficient dimension reduction via squared-loss mutual information estimation

scientific article published on 28 December 2012

Target Neighbor Consistent Feature Weighting for Nearest Neighbor Classification ⬇️

scientific article published in January 2011

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

scientific article published in January 2016

Theoretical and Experimental Analyses of Tensor-Based Regression and Classification

scientific article

Theory and algorithm for learning with dissimilarity functions

scientific article published in May 2009

Trading variance reduction with unbiasedness: the regularized subspace information criterion for robust model selection in kernel regression

scientific article published on May 2004

Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks ⬇️

Uncoupled Regression from Pairwise Comparison Data ⬇️

scientific article published in January 2019

Unsupervised Discrete Representation Learning

scientific article published in 2019

List of works by Masashi Sugiyama

A batch ensemble approach to active learning with model selection

Active Learning for Misspecified Models ⬇️

Active Learning in Recommender Systems

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

Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring ⬇️

Analysis and Improvement of Policy Gradient Estimation ⬇️

Analysis and improvement of policy gradient estimation

Analysis of Learning from Positive and Unlabeled Data ⬇️

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

Application of covariate shift adaptation techniques in brain-computer interfaces

Are Anchor Points Really Indispensable in Label-Noise Learning? ⬇️

Automatic parameter optimization of the local model fitting method for single-shot surface profiling ⬇️

Bandit-Based Task Assignment for Heterogeneous Crowdsourcing.

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

Binary Classification from Positive-Confidence Data ⬇️

Canonical dependency analysis based on squared-loss mutual information

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

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

Classification from Triplet Comparison Data

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

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

Conditional density estimation with dimensionality reduction via squared-loss conditional entropy minimization

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

Convex formulation of multiple instance learning from positive and unlabeled bags

Coupling-based Invertible Neural Networks Are Universal Diffeomorphism Approximators ⬇️

Cross-Domain Matching with Squared-Loss Mutual Information

Deep learning, reinforcement learning, and world models

Density-Difference Estimation ⬇️

Density-difference estimation

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

Dimensionality reduction for density ratio estimation in high-dimensional spaces

Direct Density Derivative Estimation

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

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

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

Direct learning of sparse changes in Markov networks by density ratio estimation

Discovering diverse solutions in deep reinforcement learning by maximizing state–action-based mutual information

Dual T: Reducing Estimation Error for Transition Matrix in Label-noise Learning ⬇️

ECG-Based Concentration Recognition With Multi-Task Regression

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

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

Efficient sample reuse in policy gradients with parameter-based exploration

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

Generative Local Metric Learning for Kernel Regression ⬇️

Global Analytic Solution for Variational Bayesian Matrix Factorization ⬇️

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

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

Health checkup and telemedical intervention program for preventive medicine in developing countries: verification study.

High-dimensional feature selection by feature-wise kernelized Lasso

Improved algorithm for multiwavelength single-shot interferometric surface profiling: speeding up the multiwavelength-integrated local model fitting method by local information sharing

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

Information-Theoretic Representation Learning for Positive-Unlabeled Classification

Information-maximization clustering based on squared-loss mutual information

Information-theoretic semi-supervised metric learning via entropy regularization

Interpolated local model fitting method for accurate and fast single-shot surface profiling

Introduction: special issue of selected papers of ACML 2013

Iteratively-reweighted local model fitting method for adaptive and accurate single-shot surface profiling ⬇️

Learning from Aggregate Observations ⬇️

Learning from Complementary Labels ⬇️

Least-Squares Independent Component Analysis ⬇️

Least-squares two-sample test ⬇️

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

Masking: A New Perspective of Noisy Supervision ⬇️

Millionaire: a hint-guided approach for crowdsourcing

Mixture Regression for Covariate Shift ⬇️

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

Model-based reinforcement learning with dimension reduction

Multi-Task Learning via Conic Programming ⬇️

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

Multiwavelength-integrated local model fitting method for interferometric surface profiling

Mutual information estimation reveals global associations between stimuli and biological processes

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

On the Calibration of Multiclass Classification with Rejection ⬇️

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

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

Parametric Task Learning ⬇️

Part-dependent Label Noise: Towards Instance-dependent Label Noise ⬇️

Perfect Dimensionality Recovery by Variational Bayesian PCA ⬇️

Polynomial-Time Algorithms for Multiple-Arm Identification with Full-Bandit Feedback