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 × Canada
1 × Finland
1 × Israel
1 × Slovenia
1 × United Kingdom
2 × France
9 × USA
Collaborated with:
A.W.Moore B.Póczos K.Das T.Huang Y.Zhang B.Bryan J.A.Boyan R.Garnett K.Kandasamy J.B.Oliva M.Tesch H.Choset D.J.Sutherland X.Wang Z.Ghahramani P.Donmez J.G.Carbonell D.B.Neill K.Deng H.B.McMahan C.M.Schafer J.Kubica D.Cohn W.Wong M.A.Riedmiller M.S.Lee Y.Krishnamurthy X.Xiong R.P.Mann
Talks about:
learn (6) function (5) activ (5) base (4) distribut (3) search (3) effici (3) optim (3) bayesian (2) without (2)

Person: Jeff G. Schneider

DBLP DBLP: Schneider:Jeff_G=

Contributed to:

ICML 20152015
ICML c3 20132013
KDD 20132013
ICML 20122012
ICML 20102010
ICML 20092009
KDD 20092009
ICML 20082008
KDD 20082008
ICML 20072007
KDD 20072007
KDD 20042004
ICML 20032003
ICML 19991999
ICML 19981998
ICML 19971997

Wrote 22 papers:

ICML-2015-KandasamySP #modelling #optimisation
High Dimensional Bayesian Optimisation and Bandits via Additive Models (KK, JGS, BP), pp. 295–304.
ICML-c3-2013-HuangS #learning #markov #modelling
Spectral Learning of Hidden Markov Models from Dynamic and Static Data (TKH, JGS), pp. 630–638.
Distribution to Distribution Regression (JBO, BP, JGS), pp. 1049–1057.
ICML-c3-2013-TeschSC #optimisation #probability
Expensive Function Optimization with Stochastic Binary Outcomes (MT, JGS, HC), pp. 1283–1291.
KDD-2013-SutherlandPS #learning #matrix #rank
Active learning and search on low-rank matrices (DJS, BP, JGS), pp. 212–220.
KDD-2013-WangGS #graph
Active search on graphs (XW, RG, JGS), pp. 731–738.
Bayesian Optimal Active Search and Surveying (RG, YK, XX, JGS, RPM), p. 111.
ICML-2012-PoczosGS #dependence #kernel #metric
Copula-based Kernel Dependency Measures (BP, ZG, JGS), p. 213.
Maximum Margin Output Coding (YZ, JGS), p. 53.
ICML-2010-ZhangS #reduction
Projection Penalties: Dimension Reduction without Loss (YZ, JGS), pp. 1223–1230.
ICML-2009-HuangS #learning #linear #sequence
Learning linear dynamical systems without sequence information (TKH, JGS), pp. 425–432.
KDD-2009-DonmezCS #learning
Efficiently learning the accuracy of labeling sources for selective sampling (PD, JGC, JGS), pp. 259–268.
ICML-2008-BryanS #learning
Actively learning level-sets of composite functions (BB, JGS), pp. 80–87.
KDD-2008-DasSN #category theory #dataset #detection
Anomaly pattern detection in categorical datasets (KD, JGS, DBN), pp. 169–176.
Efficiently computing minimax expected-size confidence regions (BB, HBM, CMS, JGS), pp. 97–104.
KDD-2007-DasS #category theory #dataset #detection
Detecting anomalous records in categorical datasets (KD, JGS), pp. 220–229.
Belief state approaches to signaling alarms in surveillance systems (KD, AWM, JGS), pp. 539–544.
ICML-2003-KubicaMCS #analysis #collaboration #graph #performance #query
Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries (JK, AWM, DC, JGS), pp. 392–399.
ICML-1999-SchneiderWMR #distributed
Distributed Value Functions (JGS, WKW, AWM, MAR), pp. 371–378.
ICML-1998-MooreSBL #learning #named #optimisation
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions (AWM, JGS, JAB, MSL), pp. 386–394.
ICML-1998-SchneiderBM #scheduling
Value Function Based Production Scheduling (JGS, JAB, AWM), pp. 522–530.
ICML-1997-MooreSD #performance #polynomial #predict
Efficient Locally Weighted Polynomial Regression Predictions (AWM, JGS, KD), pp. 236–244.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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