-
1
-
-
84898066957
-
A stochastic view of optimal regret through minimax duality
-
Jacob Abernethy, Alekh Agarwal, Peter L. Bartlett, and Alexander Rakhlin. A stochastic view of optimal regret through minimax duality. In COLT, 2009.
-
(2009)
COLT
-
-
Abernethy, J.1
Agarwal, A.2
Bartlett, P.L.3
Rakhlin, A.4
-
2
-
-
84860244324
-
Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization
-
Alekh Agarwal, Peter L. Bartlett, Pradeep D. Ravikumar, and Martin J. Wainwright. Information-theoretic lower bounds on the oracle complexity of stochastic convex optimization. IEEE Transactions on Information Theory, 58(5):3235-3249, 2012.
-
(2012)
IEEE Transactions on Information Theory
, vol.58
, Issue.5
, pp. 3235-3249
-
-
Agarwal, A.1
Bartlett, P.L.2
Ravikumar, P.D.3
Wainwright, M.J.4
-
4
-
-
0003713964
-
-
Athena Scientific, 2nd edition, September. ISBN 1886529000
-
Dimitri P. Bertsekas. Nonlinear Programming. Athena Scientific, 2nd edition, September 1999. ISBN 1886529000.
-
(1999)
Nonlinear Programming
-
-
Bertsekas, D.P.1
-
6
-
-
48849085774
-
The tradeoffs of large scale learning
-
Leon Bottou and Olivier Bousquet. The tradeoffs of large scale learning. In NIPS, 2007.
-
(2007)
NIPS
-
-
Bottou, L.1
Bousquet, O.2
-
7
-
-
49949144765
-
The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming
-
Lev M. Bregman. The relaxation method of finding the common point of convex sets and its application to the solution of problems in convex programming. USSR Computational Mathematics and Mathematical Physics, 7:200-217, 1967.
-
(1967)
USSR Computational Mathematics and Mathematical Physics
, vol.7
, pp. 200-217
-
-
Bregman, L.M.1
-
11
-
-
84875000998
-
Beyond the regret minimization barrier: An optimal algorithm for stochastic strongly-convex optimization
-
Elad Hazan and Satyen Kale. Beyond the regret minimization barrier: an optimal algorithm for stochastic strongly-convex optimization. In COLT, 2011.
-
(2011)
COLT
-
-
Hazan, E.1
Kale, S.2
-
12
-
-
35348918820
-
Logarithmic regret algorithms for online convex optimization
-
Elad Hazan, Amit Agarwal, and Satyen Kale. Logarithmic regret algorithms for online convex optimization. Machine Learning, 69(2-3):169-192, 2007.
-
(2007)
Machine Learning
, vol.69
, Issue.2-3
, pp. 169-192
-
-
Hazan, E.1
Agarwal, A.2
Kale, S.3
-
14
-
-
84865639277
-
Validation analysis of mirror descent stochastic approximation method
-
Guanghui Lan, Arkadi Nemirovski, and Alexander Shapiro. Validation analysis of mirror descent stochastic approximation method. Math. Program., 134(2):425-458, 2012.
-
(2012)
Math. Program.
, vol.134
, Issue.2
, pp. 425-458
-
-
Lan, G.1
Nemirovski, A.2
Shapiro, A.3
-
16
-
-
0032208221
-
The cost of achieving the best portfolio in hindsight
-
November
-
Erik Ordentlich and Thomas M. Cover. The cost of achieving the best portfolio in hindsight. Mathematics of Operations Research, 23:960-982, November 1998.
-
(1998)
Mathematics of Operations Research
, vol.23
, pp. 960-982
-
-
Ordentlich, E.1
Cover, T.M.2
-
17
-
-
84867120686
-
Making gradient descent optimal for strongly convex stochastic optimization
-
Alexander Rakhlin, Ohad Shamir, and Karthik Sridharan. Making gradient descent optimal for strongly convex stochastic optimization. In ICML, 2012.
-
(2012)
ICML
-
-
Rakhlin, A.1
Shamir, O.2
Sridharan, K.3
-
18
-
-
56449110590
-
SVM optimization: Inverse dependence on training set size
-
Shai Shalev-Shwartz and Nathan Srebro. SVM optimization: inverse dependence on training set size. In ICML, 2008.
-
(2008)
ICML
-
-
Shalev-Shwartz, S.1
Srebro, N.2
-
20
-
-
84897554805
-
Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes
-
Ohad Shamir and Tong Zhang. Stochastic gradient descent for non-smooth optimization: Convergence results and optimal averaging schemes. In ICML, 2013.
-
ICML
, vol.2013
-
-
Shamir, O.1
Zhang, T.2
-
21
-
-
4644259882
-
The minimax strategy for Gaussian density estimation
-
Eiji Takimoto and Manfred K. Warmuth. The minimax strategy for Gaussian density estimation. In COLT, 2000.
-
(2000)
COLT
-
-
Takimoto, E.1
Warmuth, M.K.2
-
22
-
-
1942484421
-
Online convex programming and generalized in finitesimal gradient ascent
-
Martin Zinkevich. Online convex programming and generalized in finitesimal gradient ascent. In ICML, 2003.
-
(2003)
ICML
-
-
Zinkevich, M.1
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