BibSLEIGH corpus
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Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × China
1 × Finland
1 × France
1 × Israel
1 × Japan
1 × Turkey
1 × United Kingdom
5 × USA
Collaborated with:
M.C.d.Plessis G.Niu H.Hachiya S.Nakajima B.Dai H.Kashima K.Ogawa I.Takeuchi M.Yamada A.Takeda N.Rubens A.Kimura H.Sakano H.Kameoka N.Xie S.D.Babacan K.Ueki Y.Ihara Kiyoshi Irie Masahiro Tomono S.Suzumura M.Imamura M.Kimura R.Tomioka T.Suzuki W.Jitkrittum T.Morimura T.Tanaka K.Yamazaki M.Kawanabe S.Watanabe K.Müller T.Nakano E.Maeda K.Ishiguro Y.Baba Y.Nohara E.Kai P.P.Ghosh R.I.Maruf A.Ahmed M.Kuroda S.Inoue T.Hiramatsu M.Kimura S.Shimizu K.Kobayashi K.Tsuda M.Blondel N.Ueda M.Kitsuregawa N.Nakashima
Talks about:
learn (10) supervis (6) semi (6) inform (4) distribut (3) bayesian (3) approach (3) regular (3) class (3) dimension (2)

Person: Masashi Sugiyama

DBLP DBLP: Sugiyama:Masashi

Contributed to:

ICML 20152015
KDD 20152015
ICML c2 20142014
ICML c3 20132013
ICML 20122012
ICPR 20122012
ICML 20112011
ICML 20102010
ICPR 20102010
ICML 20082008
ICML 20072007
RecSys 20072007
ICML 20062006
CASE 20162016

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.
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.
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.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.