-
1
-
-
84877771041
-
A spectral algorithm for latent Dirichlet allocation
-
Anandkumar, Anima, Foster, Dean P., Hsu, Daniel, Kakade, Sham M., and Liu, Yi-Kai. A spectral algorithm for latent Dirichlet allocation. In Advances in Neural In formation Processing Systems 25, 2012.
-
(2012)
Advances in Neural in Formation Processing Systems
, vol.25
-
-
Anandkumar, A.1
Foster, D.P.2
Hsu, D.3
Kakade, S.M.4
Liu, Y.-K.5
-
2
-
-
84871960604
-
Learning topic models-going beyond svd
-
New Brunswick NJ, USA, October 20-23
-
Arora, Sanjeev., Ge, Rong., and Moitra, Ankur. Learning topic models-going beyond svd. In IEEE 53rd Annual Symposium on Foundations of Computer Science, FOCS 2012, New Brunswick NJ, USA, October 20-23, pp. 1-10, 2012.
-
(2012)
IEEE 53rd Annual Symposium on Foundations of Computer Science, FOCS 2012
, pp. 1-10
-
-
Arora, S.1
Ge, R.2
Moitra, A.3
-
3
-
-
84919824359
-
-
ArXiv, 1308.6273
-
Arora, Sanjeev, Ge, Rong, and Moitra, Ankur. New algo rithms for learning incoherent and overcomplete dictio naries. ArXiv, 1308.6273, 2013.
-
(2013)
New Algo Rithms for Learning Incoherent and Overcomplete Dictio Naries
-
-
Sanjeev, A.1
Rong, G.2
Ankur, M.3
-
4
-
-
69349090197
-
Learning deep architectures for AI
-
Also published as a book. Now Publishers 2009
-
Bengio, Yoshua. Learning deep architectures for AI. Foun dations and Trends in Machine Learning, 2(1): 1-127, 2009. Also published as a book. Now Publishers, 2009.
-
(2009)
Foun Dations and Trends in Machine Learning
, vol.2
, Issue.1
, pp. 1-127
-
-
Yoshua, B.1
-
5
-
-
84879854889
-
Representation learning: A review and new per spectives
-
Bengio, Yoshua, Courville, Aaron C., and Vincent, Pascal. Representation learning: A review and new per spectives. IEEE Trans. Pattern Anal. Mack Intell., 35 (8): 1798-1828, 2013.
-
(2013)
IEEE Trans. Pattern Anal. Mack Intell.
, vol.35
, Issue.8
, pp. 1798-1828
-
-
Bengio, Y.1
Courville, A.C.2
Vincent, P.3
-
6
-
-
64549162832
-
Combining geometry and combinatorics: A unified approach to sparse signal recovery
-
Berinde, R., Gilbert, A.C., Indyk, P., Karloff, H., and Strauss, M.J. Combining geometry and combinatorics: a unified approach to sparse signal recovery. In 46th An nual Allerton Conference on Communication, Control, and Computing, pp. 798-805, 2008.
-
(2008)
46th An Nual Allerton Conference on Communication, Control, and Computing
, pp. 798-805
-
-
Berinde, R.1
Gilbert, A.C.2
Indyk, P.3
Karloff, H.4
Strauss, M.J.5
-
11
-
-
33749002225
-
Ex pander graphs and their applications
-
Hoory, Shlomo, Linial, Nathan, and Wigderson, Avi. Ex pander graphs and their applications. Bulletin of the American Mathematical Society, 43(4):439-561, 2006.
-
(2006)
Bulletin of the American Mathematical Society
, vol.43
, Issue.4
, pp. 439-561
-
-
Hoory, S.1
Linial, N.2
Wigderson, A.3
-
13
-
-
84863414476
-
A spec tral algorithm for learning hidden Markov models
-
Hsu, Daniel, Kakade, Sham M., and Zhang, Tong. A spec tral algorithm for learning hidden Markov models. Jour nal of Computer and System Sciences, 78(5): 1460-1480, 2012.
-
(2012)
Jour Nal of Computer and System Sciences
, vol.78
, Issue.5
, pp. 1460-1480
-
-
Hsu, D.1
Kakade, S.M.2
Zhang, T.3
-
14
-
-
0036039960
-
Learnability beyond ac0
-
ACM
-
Jackson, Jeffrey C, Klivans, Adam R, and Servedio, Rocco A. Learnability beyond ac0. In Proceedings of the thiry-fourth annual ACM symposium on Theory of computing, pp. 776-784. ACM, 2002.
-
(2002)
Proceedings of the Thiry-fourth Annual ACM Symposium on Theory of Computing
, pp. 776-784
-
-
Jackson, J.C.1
Klivans, A.R.2
Servedio, R.A.3
-
15
-
-
56249100680
-
Crypto graphic hardness for learning intersections of halfspaces
-
Klivans, Adam R and Sherstov, Alexander A. Crypto graphic hardness for learning intersections of halfspaces. Journal of Computer and System Sciences, 75(1):2-12, 2009.
-
(2009)
Journal of Computer and System Sciences
, vol.75
, Issue.1
, pp. 2-12
-
-
Klivans, A.R.1
Sherstov, A.A.2
-
16
-
-
84878919540
-
Imagenet classification with deep convolutional neural networks
-
Krizhevsky, Alex, Sutskever, Ilya, and Hinton, Geoff. Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems 25, pp. 1106-1114. 2012.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 1106-1114
-
-
Alex, K.1
Ilya, S.2
Geoff, H.3
-
17
-
-
84919830393
-
-
ArXiv 1304.7045
-
Livni, Roi, Shalev-Shwartz, Shai, and Shamir, Ohad. A provably efficient algorithm for training deep networks. ArXiv, 1304.7045, 2013.
-
(2013)
A Provably Efficient Algorithm for Training Deep Networks
-
-
Roi, L.1
Shai, S.2
Ohad, S.3
-
19
-
-
80053448548
-
On random weights and unsupervised feature learning
-
Saxe, Andrew, Koh, Pang W, Chen, Zhenghao, Bhand, Maneesh, Suresh, Bipin, and Ng, Andrew. On random weights and unsupervised feature learning. In Proceedings of the 28th International Conference on Machine Learning (ICML-11), pp. 1089-1096, 2011.
-
(2011)
Proceedings of the 28th International Conference on Machine Learning (ICML-11)
, pp. 1089-1096
-
-
Andrew, S.1
Koh Pang, W.2
Zhenghao, C.3
Maneesh, B.4
Bipin, S.5
Andrew, N.6
-
20
-
-
56449089103
-
Extracting and composing robust features with denoising autoencoders
-
Vincent, Pascal, Larochelle, Hugo, Bengio, Yoshua, and Manzagol, Pierre-Antoine. Extracting and composing robust features with denoising autoencoders. In ICML, pp. 1096-1103, 2008.
-
(2008)
ICML
, pp. 1096-1103
-
-
Vincent, P.1
Larochelle, H.2
Bengio, Y.3
Manzagol, P.-A.4
|