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Travelled to:
1 × France
1 × Germany
1 × India
2 × Canada
2 × China
2 × United Kingdom
6 × USA
Collaborated with:
L.K.Saul K.Q.Weinberger K.Grauman M.Chen Z.E.Xu Y.Shi G.Gardarin B.Gong S.J.Hwang Z.Kang C.Cheng N.N.Dalvi P.Bohannon J.Nilsson M.I.Jordan Z.Tang W.Chao J.Solomon D.Michels G.V.Steeg A.Galstyan S.DeDeo Y.Bengio J.Wang K.Sun S.Marchand-Maillet A.Kalousis L.Bouganim T.Chan-Sine-Ying T.Dang-Ngoc J.Darroux
Talks about:
learn (6) domain (4) nonlinear (3) reduct (3) margin (3) model (3) adapt (3) unsupervis (2) represent (2) discrimin (2)

Person: Fei Sha


Contributed to:

ICML 20152015
ICML c1 20142014
ICML c2 20142014
ICML c1 20132013
ICML c3 20132013
CIKM 20122012
ICML 20122012
ICML 20112011
ICML 20092009
SIGMOD 20092009
ICML 20072007
ICML 20052005
ICML 20042004
VLDB 19991999
VLDB 19961996

Wrote 17 papers:

ICML-2015-ChaoSMS #exponential #integration #monte carlo
Exponential Integration for Hamiltonian Monte Carlo (WLC, JS, DM, FS), pp. 1142–1151.
ICML-c1-2014-SteegGSD #clustering
Demystifying Information-Theoretic Clustering (GVS, AG, FS, SD), pp. 19–27.
Marginalized Denoising Auto-encoders for Nonlinear Representations (MC, KQW, FS, YB), pp. 1476–1484.
ICML-c2-2014-WangSSMK #learning #metric
Two-Stage Metric Learning (JW, KS, FS, SMM, AK), pp. 370–378.
ICML-c1-2013-GongGS #adaptation #invariant #learning
Connecting the Dots with Landmarks: Discriminatively Learning Domain-Invariant Features for Unsupervised Domain Adaptation (BG, KG, FS), pp. 222–230.
ICML-c3-2013-HwangGS #categorisation #semantics #visual notation
Analogy-preserving Semantic Embedding for Visual Object Categorization (SJH, KG, FS), pp. 639–647.
CIKM-2012-XuCWS #representation
From sBoW to dCoT marginalized encoders for text representation (ZEX, MC, KQW, FS), pp. 1879–1884.
ICML-2012-ChenXWS #adaptation
Marginalized Denoising Autoencoders for Domain Adaptation (MC, ZEX, KQW, FS), p. 212.
ICML-2012-ShiS #adaptation #clustering #learning
Information-Theoretical Learning of Discriminative Clusters for Unsupervised Domain Adaptation (YS, FS), p. 166.
ICML-2011-KangGS #learning #multi
Learning with Whom to Share in Multi-task Feature Learning (ZK, KG, FS), pp. 521–528.
ICML-2009-ChengSS #markov #matrix #modelling
Matrix updates for perceptron training of continuous density hidden Markov models (CCC, FS, LKS), pp. 153–160.
SIGMOD-2009-DalviBS #approach #probability #robust #web
Robust web extraction: an approach based on a probabilistic tree-edit model (NND, PB, FS), pp. 335–348.
ICML-2007-NilssonSJ #kernel #reduction #using
Regression on manifolds using kernel dimension reduction (JN, FS, MIJ), pp. 697–704.
ICML-2005-ShaS #analysis #reduction
Analysis and extension of spectral methods for nonlinear dimensionality reduction (FS, LKS), pp. 784–791.
ICML-2004-WeinbergerSS #kernel #learning #matrix #reduction
Learning a kernel matrix for nonlinear dimensionality reduction (KQW, FS, LKS).
VLDB-1999-BouganimCDDGS #data flow #data type #multi #semistructured data #web
Miro Web: Integrating Multiple Data Sources through Semistructured Data Types (LB, TCSY, TTDN, JLD, GG, FS), pp. 750–753.
VLDB-1996-GardarinST #cost analysis #database #object-oriented #query
Calibrating the Query Optimizer Cost Model of IRO-DB, an Object-Oriented Federated Database System (GG, FS, ZHT), pp. 378–389.

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.