BibSLEIGH — David_M

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: Blei:David_M=

Facilitated 1 volumes:

Contributed to:

2015

2014

2013

2012

2011

2010

2009

2007

2006

2004

2003

2001

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.
RecSys-2015-CharlinRMB: 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.