Person: Masashi Sugiyama

DBLP: Sugiyama:Masashi

Contributed to:

2015

2015

2014

2013

2012

2012

2011

2010

2010

2008

2007

2007

2006

2016

Wrote 22 papers:

ICML-2015-PlessisNS #learning

Convex Formulation for Learning from Positive and Unlabeled Data (MCdP, GN, MS), pp. 1386–1394.

KDD-2015-BabaKNKGIAKIHKS #low cost #predict

Predictive Approaches for Low-Cost Preventive Medicine Program in Developing Countries (YB, HK, YN, EK, PPG, RIM, AA, MK, SI, TH, MK, SS, KK, KT, MS, MB, NU, MK, NN), pp. 1681–1690.

ICML-c2-2014-NiuDPS #approximate #learning #multi

Transductive Learning with Multi-class Volume Approximation (GN, BD, MCdP, MS), pp. 1377–1385.

ICML-c2-2014-SuzumuraOST #algorithm #robust

Outlier Path: A Homotopy Algorithm for Robust SVM (SS, KO, MS, IT), pp. 1098–1106.

ICML-c3-2013-NiuJDHS #approach #learning #novel

Squared-loss Mutual Information Regularization: A Novel Information-theoretic Approach to Semi-supervised Learning (GN, WJ, BD, HH, MS), pp. 10–18.

ICML-c3-2013-OgawaITS

Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines (KO, MI, IT, MS), pp. 897–905.

ICML-2012-NiuDYS #learning #metric

Information-theoretic Semi-supervised Metric Learning via Entropy Regularization (GN, BD, MY, MS), p. 136.

ICML-2012-PlessisS #learning

Semi-Supervised Learning of Class Balance under Class-Prior Change by Distribution Matching (MCdP, MS), p. 159.

ICML-2012-XieHS #approach #automation #generative #learning

Artist Agent: A Reinforcement Learning Approach to Automatic Stroke Generation in Oriental Ink Painting (NX, HH, MS), p. 139.

ICPR-2012-KimuraSKS #analysis #component #design

Designing various component analysis at will (AK, HS, HK, MS), pp. 2959–2962.

ICML-2011-NakajimaSB #automation #on the

On Bayesian PCA: Automatic Dimensionality Selection and Analytic Solution (SN, MS, SDB), pp. 497–504.

ICML-2011-SugiyamaYKH #clustering #on the #parametricity

On Information-Maximization Clustering: Tuning Parameter Selection and Analytic Solution (MS, MY, MK, HH), pp. 65–72.

ICML-2010-MorimuraSKHT #approximate #learning #parametricity

Nonparametric Return Distribution Approximation for Reinforcement Learning (TM, MS, HK, HH, TT), pp. 799–806.

ICML-2010-NakajimaS #matrix

Implicit Regularization in Variational Bayesian Matrix Factorization (SN, MS), pp. 815–822.

ICML-2010-TomiokaSSK #algorithm #learning #matrix #performance #rank

A Fast Augmented Lagrangian Algorithm for Learning Low-Rank Matrices (RT, TS, MS, HK), pp. 1087–1094.

ICPR-2010-KimuraKSNMSI #canonical #correlation #learning #named #performance

SemiCCA: Efficient Semi-supervised Learning of Canonical Correlations (AK, HK, MS, TN, EM, HS, KI), pp. 2933–2936.

ICPR-2010-UekiSI #adaptation #estimation

Perceived Age Estimation under Lighting Condition Change by Covariate Shift Adaptation (KU, MS, YI), pp. 3400–3403.

ICML-2008-TakedaS

nu-support vector machine as conditional value-at-risk minimization (AT, MS), pp. 1056–1063.

ICML-2007-YamazakiKWSM #fault

Asymptotic Bayesian generalization error when training and test distributions are different (KY, MK, SW, MS, KRM), pp. 1079–1086.

RecSys-2007-RubensS #collaboration #learning

Influence-based collaborative active learning (NR, MS), pp. 145–148.

ICML-2006-Sugiyama #analysis #reduction

Local Fisher discriminant analysis for supervised dimensionality reduction (MS), pp. 905–912.

CASE-2016-IrieST #dependence #using

Target-less camera-LiDAR extrinsic calibration using a bagged dependence estimator (KI, MS, MT), pp. 1340–1347.