-
1
-
-
84874223900
-
Distributed delayed stochastic optimization, Decision and Control (CDC)
-
Alekh Agarwal and John C Duchi, Distributed delayed stochastic optimization, Decision and Control (CDC), 2012 IEEE 51st Annual Conference on, IEEE, 2012, pp. 5451-5452.
-
(2012)
2012 IEEE 51st Annual Conference On, IEEE
, pp. 5451-5452
-
-
Agarwal, A.1
Duchi, J.C.2
-
2
-
-
84867125855
-
Bayesian posterior sampling via stochastic gradient fisher scoring
-
Sungjin Ahn, Anoop Korattikara, and Max Welling, Bayesian posterior sampling via stochastic gradient fisher scoring, Proceedings of the 29th International Conference on Machine Learning, 2012, pp. 1591-1598.
-
(2012)
Proceedings of the 29th International Conference on Machine Learning
, pp. 1591-1598
-
-
Ahn, S.1
Korattikara, A.2
Welling, M.3
-
3
-
-
0141607824
-
Latent dirichlet allocation
-
David M Blei, Andrew Y Ng, and Michael I Jordan, Latent dirichlet allocation, The Journal of Machine Learning Research 3 (2003), 993-1022.
-
(2003)
The Journal of Machine Learning Research
, vol.3
, pp. 993-1022
-
-
Blei, D.M.1
Ng, A.Y.2
Jordan, M.I.3
-
4
-
-
37549003336
-
Mapreduce: Simplified data processing on large clusters
-
Jeffrey Dean and Sanjay Ghemawat, Mapreduce: simplified data processing on large clusters, Communications of the ACM 51 (2008), no. 1, 107-113.
-
(2008)
Communications of the ACM
, vol.51
, Issue.1
, pp. 107-113
-
-
Dean, J.1
Ghemawat, S.2
-
6
-
-
0001077759
-
Nonparametric density estimation with a parametric start
-
Nils Lid Hjort and Ingrid K Glad, Nonparametric density estimation with a parametric start, The Annals of Statistics (1995), 882-904.
-
(1995)
The Annals of Statistics
, pp. 882-904
-
-
Hjort, N.L.1
Glad, I.K.2
-
7
-
-
84898988368
-
More effective distributed ml via a stale synchronous parallel parameter server
-
Qirong Ho, James Cipar, Henggang Cui, Seunghak Lee, Jin Kyu Kim, Phillip B. Gibbons, Gregory R. Ganger, Garth Gibson, and Eric P. Xing, More effective distributed ml via a stale synchronous parallel parameter server, Advances in Neural Information Processing Systems, 2013.
-
(2013)
Advances in Neural Information Processing Systems
-
-
Ho, Q.1
Cipar, J.2
Cui, H.3
Lee, S.4
Kyu Kim, J.5
Gibbons, P.B.6
Ganger, G.R.7
Gibson, G.8
Xing, E.P.9
-
11
-
-
0037266164
-
Population markov chain monte carlo
-
Kathryn Blackmond Laskey and James W Myers, Population Markov chain Monte Carlo, Machine Learning 50 (2003), no. 1-2, 175-196.
-
(2003)
Machine Learning
, vol.50
, Issue.1-2
, pp. 175-196
-
-
Blackmond Laskey, K.1
Myers, J.W.2
-
14
-
-
70349433731
-
Distributed algorithms for topic models
-
David Newman, Arthur Asuncion, Padhraic Smyth, and Max Welling, Distributed algorithms for topic models, The Journal of Machine Learning Research 10 (2009), 1801-1828.
-
(2009)
The Journal of Machine Learning Research
, vol.10
, pp. 1801-1828
-
-
Newman, D.1
Asuncion, A.2
Smyth, P.3
Welling, M.4
-
15
-
-
84897500693
-
Distribution to distribution regression
-
Junier Oliva, Barnabás Póczos, and Jeff Schneider, Distribution to distribution regression, Proceedings of The 30th International Conference on Machine Learning, 2013, pp. 1049-1057.
-
(2013)
Proceedings of the 30th International Conference on Machine Learning
, pp. 1049-1057
-
-
Oliva, J.1
Póczos, B.2
Schneider, J.3
-
17
-
-
84932199616
-
Bayes and big data: The consensus monte carlo algorithm
-
Steven L. Scott, Alexander W. Blocker, and Fernando V. Bonassi, Bayes and big data: The consensus monte carlo algorithm, Bayes 250, 2013.
-
(2013)
Bayes
, vol.250
-
-
Scott, S.L.1
Blocker, A.W.2
Bonassi, F.V.3
-
21
-
-
84897382844
-
Parallel Markov chain Monte Carlo for nonparametric mixture models
-
Sinead Williamson, Avinava Dubey, and Eric P Xing, Parallel Markov chain Monte Carlo for nonparametric mixture models, Proceedings of the 30th International Conference on Machine Learning, 2013, pp. 98-106.
-
Proceedings of the 30th International Conference on Machine Learning, 2013
, pp. 98-106
-
-
Williamson, S.1
Dubey, A.2
Xing, E.P.3
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