BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Travelled to:
1 × Australia
1 × Finland
1 × France
1 × Israel
1 × United Kingdom
2 × Canada
2 × China
4 × USA
Collaborated with:
T.Cohen S.Ahn D.P.Kingma Y.Chen Y.W.Teh A.K.Balan P.Smyth T.Salimans B.Shahbaba R.Gomes P.Perona P.V.Gehler A.Holub M.Rosen-Zvi A.Korattikara N.Liu S.Rajan J.R.Foulds L.Boyles C.DuBois I.Porteous D.Newman A.T.Ihler A.U.Asuncion
Talks about:
stochast (5) gradient (5) infer (5) bayesian (4) model (3) learn (3) dynam (3) mcmc (3) distribut (2) dirichlet (2)

Person: Max Welling

DBLP DBLP: Welling:Max

Contributed to:

ICML 20152015
KDD 20152015
ICML c1 20142014
ICML c2 20142014
KDD 20132013
ICML 20122012
ICML 20112011
ICML 20102010
ICML 20092009
ICML 20082008
KDD 20082008
ICML 20062006
ICML 20042004

Wrote 16 papers:

ICML-2015-CohenW #exponential #product line
Harmonic Exponential Families on Manifolds (TC, MW), pp. 1757–1765.
ICML-2015-SalimansKW #markov #monte carlo
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap (TS, DPK, MW), pp. 1218–1226.
KDD-2015-AhnKLRW #distributed #matrix #probability #scalability #using
Large-Scale Distributed Bayesian Matrix Factorization using Stochastic Gradient MCMC (SA, AK, NL, SR, MW), pp. 9–18.
Austerity in MCMC Land: Cutting the Metropolis-Hastings Budget (AKB, YC, MW), pp. 181–189.
ICML-c2-2014-AhnSW #distributed #probability
Distributed Stochastic Gradient MCMC (SA, BS, MW), pp. 1044–1052.
ICML-c2-2014-CohenW #commutative #learning
Learning the Irreducible Representations of Commutative Lie Groups (TC, MW), pp. 1755–1763.
ICML-c2-2014-KingmaW #performance
Efficient Gradient-Based Inference through Transformations between Bayes Nets and Neural Nets (DPK, MW), pp. 1782–1790.
KDD-2013-FouldsBDSW #probability
Stochastic collapsed variational Bayesian inference for latent Dirichlet allocation (JRF, LB, CD, PS, MW), pp. 446–454.
ICML-2012-AhnBW #probability
Bayesian Posterior Sampling via Stochastic Gradient Fisher Scoring (SA, AKB, MW), p. 230.
ICML-2011-WellingT #learning #probability
Bayesian Learning via Stochastic Gradient Langevin Dynamics (MW, YWT), pp. 681–688.
ICML-2010-ChenW #modelling
Dynamical Products of Experts for Modeling Financial Time Series (YC, MW), pp. 207–214.
Herding dynamical weights to learn (MW), pp. 1121–1128.
ICML-2008-GomesWP #bound #memory management #modelling #topic
Memory bounded inference in topic models (RG, MW, PP), pp. 344–351.
KDD-2008-PorteousNIASW #performance
Fast collapsed gibbs sampling for latent dirichlet allocation (IP, DN, ATI, AUA, PS, MW), pp. 569–577.
ICML-2006-GehlerHW #adaptation #information retrieval #recognition
The rate adapting poisson model for information retrieval and object recognition (PVG, AH, MW), pp. 337–344.
ICML-2004-WellingRT #approximate #markov
Approximate inference by Markov chains on union spaces (MW, MRZ, YWT).

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.