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Travelled to:
1 × China
1 × Ireland
1 × Israel
1 × Italy
1 × The Netherlands
3 × United Kingdom
6 × USA
Collaborated with:
R.Herbrich D.H.Stern A.D.Gordon C.V.Russo J.Borgström J.Guiver G.Kasneci T.Salimans U.Paquet N.Rolland S.Bauer S.Clark L.Rimell Y.Bachrach T.Minka J.Q.Candela T.Borchert W.Cheng S.Sanner S.Guo S.Kharazmi S.Karimi Y.Xu X.Cao A.Sellen S.Lacoste-Julien K.Palla A.Davies Z.Ghahramani M.Szymczak D.Tarlow M.Aizatulin G.Claret A.V.Nori S.K.Rajamani
Talks about:
bayesian (4) model (4) learn (3) game (3) probabilist (2) knowledg (2) advertis (2) program (2) predict (2) pattern (2)

Person: Thore Graepel

DBLP DBLP: Graepel:Thore

Contributed to:

ESOP 20152015
ECIR 20142014
POPL 20142014
KDD 20132013
POPL 20132013
ICML 20122012
RecSys 20122012
CIKM 20112011
CSCW 20112011
ICML 20102010
KDD 20082008
ICML 20072007
ICML 20062006
ICML 20032003

Wrote 15 papers:

ESOP-2015-GordonRSBRGT #probability #query #source code #spreadsheet
Probabilistic Programs as Spreadsheet Queries (ADG, CVR, MS, JB, NR, TG, DT), pp. 1–25.
ECIR-2014-BauerCRG #corpus #formal method #learning #web
Learning a Theory of Marriage (and Other Relations) from a Web Corpus (SB, SC, LR, TG), pp. 591–597.
POPL-2014-GordonGRRBG #named #probability #programming language
Tabular: a schema-driven probabilistic programming language (ADG, TG, NR, CVR, JB, JG), pp. 321–334.
KDD-2013-Lacoste-JulienPDKGG #knowledge base #named #scalability
SIGMa: simple greedy matching for aligning large knowledge bases (SLJ, KP, AD, GK, TG, ZG), pp. 572–580.
POPL-2013-GordonABCGNRR #reasoning
A model-learner pattern for bayesian reasoning (ADG, MA, JB, GC, TG, AVN, SKR, CVR), pp. 403–416.
ICML-2012-BachrachGMG #adaptation #crowdsourcing #how #testing #visual notation
How To Grade a Test Without Knowing the Answers — A Bayesian Graphical Model for Adaptive Crowdsourcing and Aptitude Testing (YB, TG, TM, JG), p. 108.
RecSys-2012-SalimansPG #collaboration #learning #ranking
Collaborative learning of preference rankings (TS, UP, TG), pp. 261–264.
CIKM-2011-ChengKGSH #automation #generative
Automated feature generation from structured knowledge (WC, GK, TG, DHS, RH), pp. 1395–1404.
CIKM-2011-SannerGGKK #optimisation #retrieval #topic
Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model (SS, SG, TG, SK, SK), pp. 1977–1980.
CSCW-2011-XuCSHG #comprehension #game studies #online #social
Sociable killers: understanding social relationships in an online first-person shooter game (YX, XC, AS, RH, TG), pp. 197–206.
ICML-2010-GraepelCBH #predict
Web-Scale Bayesian Click-Through rate Prediction for Sponsored Search Advertising in Microsoft’s Bing Search Engine (TG, JQC, TB, RH), pp. 13–20.
KDD-2008-GraepelH #data analysis #modelling #online #scalability
Large scale data analysis and modelling in online services and advertising (TG, RH), p. 2.
ICML-2007-SternHG #game studies #learning
Learning to solve game trees (DHS, RH, TG), pp. 839–846.
ICML-2006-SternHG #game studies #predict #ranking
Bayesian pattern ranking for move prediction in the game of Go (DHS, RH, TG), pp. 873–880.
ICML-2003-Graepel #difference #equation #linear #process
Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations (TG), pp. 234–241.

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.