-
1
-
-
84873371070
-
Fast global convergence of gradient methods for high-dimensional statistical recovery
-
Agarwal, Alekh, Negahban, Sahand, and Wainwright, Martin J. Fast global convergence of gradient methods for high-dimensional statistical recovery. The Annals of Statistics, 40(5):2452-2482, 2012.
-
(2012)
The Annals of Statistics
, vol.40
, Issue.5
, pp. 2452-2482
-
-
Agarwal, A.1
Negahban, S.2
Wainwright, M.J.3
-
3
-
-
81155141540
-
Incremental gradient, subgradient, and proximal methods for convex optimization: A survey
-
Sra, S., Nowozin, S., and Wright, S. J. (eds.), MIT Press, 2012. Extended version: LIDS report LIDS-P2848, MIT
-
Bertsekas, Dimitri P. Incremental gradient, subgradient, and proximal methods for convex optimization: A survey. In Sra, S., Nowozin, S., and Wright, S. J. (eds.), Optimization for Machine Learning, pp. 85-119. MIT Press, 2012. Extended version: LIDS report LIDS-P2848, MIT, 2010.
-
(2010)
Optimization for Machine Learning
, pp. 85-119
-
-
Bertsekas, D.P.1
-
4
-
-
85162035281
-
The tradeoffs of large scale learning
-
Piatt, J.C., Koller, D., Singer, Y., and Roweis, S. (eds.). NIPS Foundation. URL http://Leon.bottou.org/papers/bottou-bousquet-2008
-
Bottou, Leon and Bousquet, Olivier. The tradeoffs of large scale learning. In Piatt, J.C., Koller, D., Singer, Y., and Roweis, S. (eds.), Advances in Neural Information Processing Systems, volume 20, pp. 161-168. NIPS Foundation (http://books.nips.cc), 2008. URL http://leon.bottou.org/papers/bottou-bousquet-2008.
-
(2008)
Advances in Neural Information Processing Systems
, vol.20
, pp. 161-168
-
-
Bottou, L.1
Bousquet, O.2
-
6
-
-
84898963415
-
Accelerating stochastic gradient descent using predictive variance reduction
-
Burges, C.J.C., Bottou, L., Welling. M., Ghahramani, Z., and Weinberger, K.Q. (eds.)
-
Johnson, Rie and Zhang, Tong. Accelerating stochastic gradient descent using predictive variance reduction. In Burges, C.J.C., Bottou, L., Welling. M., Ghahramani, Z., and Weinberger, K.Q. (eds.), Advances in Neural Information Processing Systems 26, pp. 315-323. 2013.
-
(2013)
Advances in Neural Information Processing Systems
, vol.26
, pp. 315-323
-
-
Johnson, R.1
Zhang, T.2
-
7
-
-
84877725219
-
A stochastic gradient method with an exponential convergence rate for finite training sets
-
Pereira, R, Burges, C.J.C., Bottou, L., and Weinberger, K.Q. (eds.)
-
Le Roux, Nicolas, Schmidt, Mark, and Bach, Francis. A stochastic gradient method with an exponential convergence rate for finite training sets. In Pereira, R, Burges, C.J.C., Bottou, L., and Weinberger, K.Q. (eds.), Advances in Neural Information Processing Systems 25, pp. 2663-2671. 2012.
-
(2012)
Advances in Neural Information Processing Systems
, vol.25
, pp. 2663-2671
-
-
Le Roux, N.1
Schmidt, M.2
Bach, F.3
-
12
-
-
84875134236
-
Stochastic dual coordinate ascent methods for regularized loss
-
Shalev-Shwartz, Shai and Zhang, Tong. Stochastic dual coordinate ascent methods for regularized loss. The Journal of Machine Learning Research, 14(1):567-599, 2013.
-
(2013)
The Journal of Machine Learning Research
, vol.14
, Issue.1
, pp. 567-599
-
-
Shalev-Shwartz, S.1
Zhang, T.2
-
13
-
-
84919796368
-
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization
-
Shalev-Shwartz, Shai and Zhang, Tong. Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization. In Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014, pp. 64-72, 2014.
-
(2014)
Proceedings of the 31th International Conference on Machine Learning, ICML 2014, Beijing, China, 21-26 June 2014
, pp. 64-72
-
-
Shalev-Shwartz, S.1
Zhang, T.2
-
14
-
-
84938533326
-
Introduction to the non-asymptotic analysis of random matrices
-
Eldar, Yonina C. and Kutyniok, Gitta (eds.). Cambridge University Press
-
Vershynin, Roman. Introduction to the non-asymptotic analysis of random matrices. In Eldar, Yonina C. and Kutyniok, Gitta (eds.). Compressed Sensing, pp. 210-268. Cambridge University Press, 2012.
-
(2012)
Compressed Sensing
, pp. 210-268
-
-
Vershynin, R.1
|