BibSLEIGH corpus
BibSLEIGH tags
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BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
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Travelled to:
1 × Australia
1 × Austria
1 × China
1 × France
1 × Israel
1 × United Kingdom
2 × Canada
6 × USA
Collaborated with:
M.I.Jordan C.Wang M.D.Hoffman S.Gerrish J.W.Paisley R.Ranganath M.Rabinovich P.I.Frazier J.D.Lafferty P.J.Moreno A.J.Chaney T.Eliassi-Rad S.Gershman D.M.Mimno L.Carin P.R.Cook J.Chang J.L.Boyd-Graber M.Dudík R.E.Schapire A.Schein H.M.Wallach L.Charlin J.McInerney E.P.Xing S.Williamson K.A.Heller
Talks about:
model (7) infer (6) variat (5) topic (5) process (4) dirichlet (3) stochast (3) bayesian (3) factor (3) nonparametr (2)

Person: David M. Blei

DBLP DBLP: Blei:David_M=

Facilitated 1 volumes:

ICML 2015Ed

Contributed to:

KDD 20152015
RecSys 20152015
ICML c1 20142014
ICML c2 20132013
ICML 20122012
ICML 20112011
KDD 20112011
ICML 20102010
KDD 20092009
ICML 20072007
ICML 20062006
ICML 20042004
SIGIR 20032003
SIGIR 20012001

Wrote 21 papers:

KDD-2015-ScheinPBW #multi
Bayesian Poisson Tensor Factorization for Inferring Multilateral Relations from Sparse Dyadic Event Counts (AS, JWP, DMB, HMW), pp. 1045–1054.
RecSys-2015-ChaneyBE #network #personalisation #probability #recommendation #social #using
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation (AJBC, DMB, TER), pp. 43–50.
Dynamic Poisson Factorization (LC, RR, JM, DMB), pp. 155–162.
ICML-c1-2014-RabinovichB #topic
The Inverse Regression Topic Model (MR, DMB), pp. 199–207.
ICML-c2-2013-RanganathWBX #adaptation #learning #probability
An Adaptive Learning Rate for Stochastic Variational Inference (RR, CW, DMB, EPX), pp. 298–306.
ICML-2012-GershmanHB #parametricity
Nonparametric variational inference (SG, MDH, DMB), p. 35.
ICML-2012-MimnoHB #probability
Sparse stochastic inference for latent Dirichlet allocation (DMM, MDH, DMB), p. 197.
ICML-2012-PaisleyBJ #probability
Variational Bayesian Inference with Stochastic Search (JWP, DMB, MIJ), p. 177.
ICML-2011-GerrishB #predict
Predicting Legislative Roll Calls from Text (SG, DMB), pp. 489–496.
ICML-2011-PaisleyCB #process
Variational Inference for Stick-Breaking Beta Process Priors (JWP, LC, DMB), pp. 889–896.
KDD-2011-WangB #collaboration #modelling #recommendation #topic
Collaborative topic modeling for recommending scientific articles (CW, DMB), pp. 448–456.
ICML-2010-BleiF #distance #process
Distance dependent Chinese restaurant processes (DMB, PIF), pp. 87–94.
ICML-2010-GerrishB #approach
A Language-based Approach to Measuring Scholarly Impact (SG, DMB), pp. 375–382.
ICML-2010-HoffmanBC #matrix #music #parametricity
Bayesian Nonparametric Matrix Factorization for Recorded Music (MDH, DMB, PRC), pp. 439–446.
ICML-2010-WilliamsonWHB #modelling #process #topic
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling (SW, CW, KAH, DMB), pp. 1151–1158.
KDD-2009-ChangBB #network #social
Connections between the lines: augmenting social networks with text (JC, JLBG, DMB), pp. 169–178.
ICML-2007-DudikBS #estimation
Hierarchical maximum entropy density estimation (MD, DMB, RES), pp. 249–256.
ICML-2006-BleiL #modelling #topic
Dynamic topic models (DMB, JDL), pp. 113–120.
ICML-2004-BleiJ #process
Variational methods for the Dirichlet process (DMB, MIJ).
SIGIR-2003-BleiJ #modelling
Modeling annotated data (DMB, MIJ), pp. 127–134.
SIGIR-2001-BleiM #markov #segmentation #topic
Topic Segmentation with an Aspect Hidden Markov Model (DMB, PJM), pp. 343–348.

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.