-
1
-
-
84904136037
-
Large-scale machine learning with stochastic gradient descent
-
Springer, Paris, France
-
Léon Bottou. Large-scale machine learning with stochastic gradient descent. In Proceedings of International Conference on Computational Statistics, pages 177-186. Springer, Paris, France, 2010.
-
(2010)
Proceedings of International Conference on Computational Statistics
, pp. 177-186
-
-
Bottou, L.1
-
2
-
-
84872521733
-
Stochastic gradient descent tricks
-
Springer
-
Léon Bottou. Stochastic gradient descent tricks. In Neural networks: Tricks of the trade, pages 421-436. Springer, 2012.
-
(2012)
Neural Networks: Tricks of The Trade
, pp. 421-436
-
-
Bottou, L.1
-
3
-
-
84898078771
-
Fast and optimal prediction on a labeled tree
-
Montreal, Canada
-
Nicolo Cesa-Bianchi, Claudio Gentile, and Fabio Vitale. Fast and optimal prediction on a labeled tree. In Annual Conference on Learning Theory, pages 145-156, Montreal, Canada, 2009.
-
(2009)
Annual Conference on Learning Theory
, pp. 145-156
-
-
Cesa-Bianchi, N.1
Gentile, C.2
Vitale, F.3
-
5
-
-
77955655063
-
Semi-supervised learning in gigantic image collections
-
Vancouver, Canada
-
Rob Fergus, Yair Weiss, and Antonio Torralba. Semi-supervised learning in gigantic image collections. In Advances in Neural Information Processing Systems, pages 522-530, Vancouver, Canada, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 522-530
-
-
Fergus, R.1
Weiss, Y.2
Torralba, A.3
-
7
-
-
80052668032
-
Large-scale matrix factorization with distributed stochastic gradient descent
-
San Diego, CA
-
Rainer Gemulla, Erik Nijkamp, Peter J Haas, and Yannis Sismanis. Large-scale matrix factorization with distributed stochastic gradient descent. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 69-77, San Diego, CA, 2011.
-
(2011)
Proceedings of The 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 69-77
-
-
Gemulla, R.1
Nijkamp, E.2
Haas, P.J.3
Sismanis, Y.4
-
8
-
-
84858775275
-
Fast prediction on a tree
-
Vancouver, Canada
-
Mark Herbster, Massimiliano Pontil, and Sergio R Galeano. Fast prediction on a tree. In Advances in Neural Information Processing Systems, pages 657-664, Vancouver, Canada, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, pp. 657-664
-
-
Herbster, M.1
Pontil, M.2
Galeano, S.R.3
-
10
-
-
0032203257
-
Gradient-based learning applied to document recognition
-
Yann LeCun, Léon Bottou, Yoshua Bengio, and Patrick Haffner. Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86(11):2278-2324, 1998.
-
(1998)
Proceedings of The IEEE
, vol.86
, Issue.11
, pp. 2278-2324
-
-
LeCun, Y.1
Bottou, L.2
Bengio, Y.3
Haffner, P.4
-
12
-
-
85006102738
-
Graph quality judgement: A large margin expedition
-
New York City, NY
-
Yu-Feng Li, Shao-Bo Wang, and Zhi-Hua Zhou. Graph quality judgement: A large margin expedition. In Proceedings of the 25th International Joint Conference on Artificial Intelligence, pages 1725-1731, New York City, NY, 2016.
-
(2016)
Proceedings of The 25th International Joint Conference on Artificial Intelligence
, pp. 1725-1731
-
-
Li, Y.-F.1
Wang, S.-B.2
Zhou, Z.-H.3
-
13
-
-
77956555216
-
Large graph construction for scalable semi-supervised learning
-
Haifa, Israel
-
Wei Liu, Jun-Feng He, and Shih-Fu Chang. Large graph construction for scalable semi-supervised learning. In Proceedings of the 27th International Conference on Machine Learning, pages 679-686, Haifa, Israel, 2010.
-
(2010)
Proceedings of The 27th International Conference on Machine Learning
, pp. 679-686
-
-
Liu, W.1
He, J.-F.2
Chang, S.-F.3
-
14
-
-
84865425579
-
Robust and scalable graph-based semisupervised learning
-
Wei Liu, Jun Wang, and Shih-Fu Chang. Robust and scalable graph-based semisupervised learning. Proceedings of the IEEE, 100(9):2624-2638, 2012.
-
(2012)
Proceedings of The IEEE
, vol.100
, Issue.9
, pp. 2624-2638
-
-
Liu, W.1
Wang, J.2
Chang, S.-F.3
-
17
-
-
84887492519
-
Large-scale SVD and manifold learning
-
Ameet Talwalkar, Sanjiv Kumar, Mehryar Mohri, and Henry Rowley. Large-scale svd and manifold learning. Journal of Machine Learning Research, 14(1):3129-3152, 2013.
-
(2013)
Journal of Machine Learning Research
, vol.14
, Issue.1
, pp. 3129-3152
-
-
Talwalkar, A.1
Kumar, S.2
Mohri, M.3
Rowley, H.4
-
18
-
-
85162385068
-
See the tree through the lines: The shazoo algorithm
-
Granada, Spain
-
Fabio Vitale, Nicolo Cesa-Bianchi, Claudio Gentile, and Giovanni Zappella. See the tree through the lines: The shazoo algorithm. In Advances in Neural Information Processing Systems, pages 1584-1592, Granada, Spain, 2011.
-
(2011)
Advances in Neural Information Processing Systems
, pp. 1584-1592
-
-
Vitale, F.1
Cesa-Bianchi, N.2
Gentile, C.3
Zappella, G.4
-
20
-
-
84929145888
-
Defining and evaluating network communities based on ground-truth
-
Jaewon Yang and Jure Leskovec. Defining and evaluating network communities based on ground-truth. Knowledge and Information Systems, 42(1):181-213, 2015.
-
(2015)
Knowledge and Information Systems
, vol.42
, Issue.1
, pp. 181-213
-
-
Yang, J.1
Leskovec, J.2
-
21
-
-
85029124098
-
Local higher-order graph clustering
-
Halifax, Canada
-
Hao Yin, Austin R Benson, Jure Leskovec, and David F Gleich. Local higher-order graph clustering. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 555-564, Halifax, Canada, 2017.
-
(2017)
Proceedings of The 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining
, pp. 555-564
-
-
Yin, H.1
Benson, A.R.2
Leskovec, J.3
Gleich, D.F.4
-
22
-
-
71149121119
-
Prototype vector machine for large scale semisupervised learning
-
Montreal, Canada
-
Kai Zhang, James T Kwok, and Bahram Parvin. Prototype vector machine for large scale semisupervised learning. In Proceedings of the 26th Annual International Conference on Machine Learning, pages 1233-1240, Montreal, Canada, 2009.
-
(2009)
Proceedings of The 26th Annual International Conference on Machine Learning
, pp. 1233-1240
-
-
Zhang, K.1
Kwok, J.T.2
Parvin, B.3
-
23
-
-
85007173622
-
Large-scale graph-based semi-supervised learning via tree laplacian solver
-
New Orleans, LA
-
Yan-Ming Zhang, Xu-Yao Zhang, Xiao-Tong Yuan, and Cheng-Lin Liu. Large-scale graph-based semi-supervised learning via tree laplacian solver. In Proceedings of the 30th AAAI Conference on Artificial Intelligence, pages 2344-2350, New Orleans, LA, 2016.
-
(2016)
Proceedings of The 30th AAAI Conference on Artificial Intelligence
, pp. 2344-2350
-
-
Zhang, Y.-M.1
Zhang, X.-Y.2
Yuan, X.-T.3
Liu, C.-L.4
-
24
-
-
84899006908
-
Learning with local and global consistency
-
Vancouver, Canada
-
Denny Zhou, Olivier Bousquet, Thomas N Lal, Jason Weston, and Bernhard Schölkopf. Learning with local and global consistency. In Advances in Neural Information Processing Systems, pages 321-328, Vancouver, Canada, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Schölkopf, B.5
-
25
-
-
1942484430
-
Semi-supervised learning using gaus-sian fields and harmonic functions
-
Washington, DC
-
Xiao-Jin Zhu, Zoubin Ghahramani, and John D Lafferty. Semi-supervised learning using gaus-sian fields and harmonic functions. In Proceedings of the 20th International Conference on Machine Learning, pages 912-919, Washington, DC, 2003.
-
(2003)
Proceedings of The 20th International Conference on Machine Learning
, pp. 912-919
-
-
Zhu, X.-J.1
Ghahramani, Z.2
Lafferty, J.D.3
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