-
1
-
-
84858012279
-
Scalable inference in latent variable models
-
A. Ahmed, M. Aly, J. Gonzalez, S. Narayanamurthy, and A. Smola. Scalable inference in latent variable models. In WSDM, 2012.
-
(2012)
WSDM
-
-
Ahmed, A.1
Aly, M.2
Gonzalez, J.3
Narayanamurthy, S.4
Smola, A.5
-
2
-
-
80052659792
-
Scalable distributed inference of dynamic user interests for behavioral targeting
-
A. Ahmed, Y Low, M. Aly, V. Josifovski, and A. Smola. Scalable Distributed Inference of Dynamic User Interests for Behavioral Targeting. In KDD, 2011.
-
(2011)
KDD
-
-
Ahmed, A.1
Low, Y.2
Aly, M.3
Josifovski, V.4
Smola, A.5
-
3
-
-
0001090598
-
Representations for partially exchangeable arrays of random variables
-
D. Aldous. Representations for partially exchangeable arrays of random variables. Journal of Multivariate Analysis, 11(4):581-598, 1981.
-
(1981)
Journal of Multivariate Analysis
, vol.11
, Issue.4
, pp. 581-598
-
-
Aldous, D.1
-
4
-
-
84858010856
-
Overlapping clusters for distributed computation
-
R. Andersen, D. Gleich, and V. Mirrokni. Overlapping clusters for distributed computation. In WSDM, 2012.
-
(2012)
WSDM
-
-
Andersen, R.1
Gleich, D.2
Mirrokni, V.3
-
7
-
-
0003713964
-
-
Athena Scientific, Belmont MA second edition
-
D. P. Bertsekas. Nonlinear Programming. Athena Scientific, Belmont, MA, second edition, 1999.
-
(1999)
Nonlinear Programming
-
-
Bertsekas, D.P.1
-
8
-
-
0141607824
-
Latent Dirichlet allocation
-
D. Blei, A. Ng, and M. Jordan. Latent Dirichlet allocation. JMLR, 3:993-1022, 2003.
-
(2003)
JMLR
, vol.3
, pp. 993-1022
-
-
Blei, D.1
Ng, A.2
Jordan, M.3
-
9
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
S. Boyd, N. Parikh, E. Chu, B. Peleato, and J. Eckstein. Distributed optimization and statistical learning via the alternating direction method of multipliers. Foundations and Trends in Machine Learning, 3(1):1-123, 2010.
-
(2010)
Foundations and Trends in Machine Learning
, vol.3
, Issue.1
, pp. 1-123
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
10
-
-
0036040277
-
Similarity estimation techniques from rounding algorithms
-
M. Charikar. Similarity estimation techniques from rounding algorithms. In ACM Tymposium on Theory of Computing, pages 380-388, 2002.
-
(2002)
ACM Tymposium on Theory of Computing
, pp. 380-388
-
-
Charikar, M.1
-
11
-
-
80052668032
-
Large-scale matrix factorization with distributed stochastic gradient descent
-
R. Gemulla, E. Nijkamp, P. J. Haas, and Y. Sismanis. Large-scale matrix factorization with distributed stochastic gradient descent. In KDD, 69-77, 2011.
-
(2011)
KDD
, pp. 69-77
-
-
Gemulla, R.1
Nijkamp, E.2
Haas, P.J.3
Sismanis, Y.4
-
13
-
-
84864043341
-
Infinite latent feature models and the Indian Buffet Process
-
T. Grifiths and Z. Ghahramani. Infinite latent feature models and the Indian Buffet Process. NIPS 18, 475-482, 2006.
-
(2006)
NIPS
, vol.18
, pp. 475-482
-
-
Grifiths, T.1
Ghahramani, Z.2
-
14
-
-
84875144612
-
-
OSDI October
-
J. Gonzalez, Y. Low, H. Gu, D. Bickson and C. Guestrin. PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs. OSDI, October, 2012.
-
(2012)
PowerGraph: Distributed Graph-Parallel Computation on Natural Graphs
-
-
Gonzalez, J.1
Low, Y.2
Gu, H.3
Bickson, D.4
Guestrin, C.5
-
16
-
-
85008044987
-
Matrix factorization techniques for recommender systems
-
Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009.
-
(2009)
IEEE Computer
, vol.42
, Issue.8
, pp. 30-37
-
-
Koren, Y.1
Bell, R.2
Volinsky, C.3
-
17
-
-
77954604765
-
Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce
-
C. Liu, H.-C. Yang, J. Fan, L.-W. He, and Y.-M. Wang. Distributed nonnegative matrix factorization for web-scale dyadic data analysis on mapreduce. In WWW, 681-690, 2010.
-
(2010)
WWW
, pp. 681-690
-
-
Liu, C.1
Yang, H.-C.2
Fan, J.3
He, L.-W.4
Wang, Y.-M.5
-
18
-
-
81455158564
-
GraphLab: A new parallel framework for machine learning
-
Y. Low, J. Gonzalez, A. Kyrola, D. Bickson, C. Guestrin, and J. M. Hellerstein. GraphLab: A new parallel framework for machine learning. In Conference on Uncertainty in Artificial Intelligence, 2010.
-
(2010)
Conference on Uncertainty in Artificial Intelligence
-
-
Low, Y.1
Gonzalez, J.2
Kyrola, A.3
Bickson, D.4
Guestrin, C.5
Hellerstein, J.M.6
-
19
-
-
77954723629
-
Pregel: A system for large-scale graph processing
-
G. Malewicz, M. H. Austern, A. J. C. Bik, J. C. Dehnert, I. Horn, N. Leiser, and G. Czajkowski. Pregel: a system for large-scale graph processing. In ACM ICDM, 135-146. 2010.
-
(2010)
ACM ICDM
, pp. 135-146
-
-
Malewicz, G.1
Austern, M.H.2
Bik, A.J.C.3
Dehnert, J.C.4
Horn, I.5
Leiser, N.6
Czajkowski, G.7
-
20
-
-
70349433731
-
Distributed algorithms for topic models
-
D. Newman, A. Asuncion, P. Smyth, and M. Welling. Distributed algorithms for topic models. Journal of Machine Learning Research, 10:1801-1828, 2009.
-
(2009)
Journal of Machine Learning Research
, vol.10
, pp. 1801-1828
-
-
Newman, D.1
Asuncion, A.2
Smyth, P.3
Welling, M.4
-
21
-
-
84858635336
-
Interactive analysis of web-scale data
-
C. Olston, E. Bortnikov, K. Elmeleegy, F. Junqueira, and B. Reed. Interactive analysis of web-scale data. In CIDR, 2009.
-
(2009)
CIDR
-
-
Olston, C.1
Bortnikov, E.2
Elmeleegy, K.3
Junqueira, F.4
Reed, B.5
-
22
-
-
85162467517
-
Hogwild: A lock-free approach to parallelizing stochastic gradient descent
-
B. Recht, C. Re, S. Wright, and F. Niu. Hogwild: A lock-free approach to parallelizing stochastic gradient descent. In NIPS, pages 693-701, 2011.
-
(2011)
NIPS
, pp. 693-701
-
-
Recht, B.1
Re, C.2
Wright, S.3
Niu, F.4
-
23
-
-
80052119994
-
An architecture for parallel topic models
-
A. J. Smola and S. Narayanamurthy. An architecture for parallel topic models. In VLDB, 2010.
-
(2010)
VLDB
-
-
Smola, A.J.1
Narayanamurthy, S.2
-
24
-
-
80052672399
-
Counting triangles and the curse of the last reducer
-
S. Suri and S. Vassilvitskii. Counting triangles and the curse of the last reducer. In WWW, 607-614. 2011.
-
(2011)
WWW
, pp. 607-614
-
-
Suri, S.1
Vassilvitskii, S.2
-
25
-
-
72449152230
-
Fast nonparametric matrix factorization for large-scale collaborative filtering
-
K. Yu, S. Zhu, J. Lafferty, and Y. Gong. Fast nonparametric matrix factorization for large-scale collaborative filtering. In SIGIR, pages 211-218, 2009.
-
(2009)
SIGIR
, pp. 211-218
-
-
Yu, K.1
Zhu, S.2
Lafferty, J.3
Gong, Y.4
-
26
-
-
48249089255
-
Large-scale parallel collaborative filtering for the Netix prize
-
Y. Zhou, D. Wilkinson, R. Schreiber, and R. Pan. Large-scale parallel collaborative filtering for the Netix prize. In Algorithmic Aspects in Information and Management, pages 337-348, 2008.
-
(2008)
Algorithmic Aspects in Information and Management
, pp. 337-348
-
-
Zhou, Y.1
Wilkinson, D.2
Schreiber, R.3
Pan, R.4
|