Fetching the paper…
Reading the bibliography…
We discuss non-Euclidean deterministic and stochastic algorithms for optimization problems with strongly and uniformly convex objectives.
B. Polyak. Existence theorems and convergence of minimizing sequences in extremum problems with restrictions, Sov. Math. Dokl
1967
Earlier work this paper cites.
I.A. Ibragimov, Yu.V. Linnik. Independent and stationary sequences of random variables
1971
Earlier work this paper cites.
Yu. Chekanov, Yu. Nesterov, A. Vladimirov. On uniformly convex functionals, Vest. Mosk. Univ
1978
Earlier work this paper cites.
A.S. Nemirovski, D.B. Yudin, Problem complexity and method efficiency in optimization
1983
Earlier work this paper cites.
C. Zalinescu. On uniformly convex functions, J. Math. Anal. Appl,
1983
Earlier work this paper cites.
D. Azé, J.-P. Penot, Uniformly convex and uniformly smooth convex functions. Ann. Fac. Sci. Toulouse
1995
Earlier work this paper cites.
Yu. Nesterov, Introductory Lectures on Convex Optimization: A Basic Course
2003
Earlier work this paper cites.
Yu. Nesterov. Smooth minimization of nonsmooth functions, Math. Prog. Ser A
2005
Cited alongside, same era.
Yu. Nesterov. Excessive Gap Technique in Nonsmooth Convex Minimization, SIAM J. Optim
2005
Cited alongside, same era.
Yu. Nesterov. Primal-dual subgradient methods for convex problems, Math. Program., Ser. B
2007
Cited alongside, same era.
Yu. Nesterov. Barrier subgradient method. Ciaco
2008
Cited alongside, same era.
Yu. Nesterov, J. -Ph. Vial. Confidence level solutions for stochastic programming Automatica
2008
Cited alongside, same era.
Yu. Nesterov. Accelerating the cubic regularization of Newton’s method on convex problems Math. Program. Ser. B
2008
Cited alongside, same era.
B. Nadler, N. Srebro, X. Zhou Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data, NIPS 2009 Online papers
2009
Later among the works it cites.
A. Nemirovski , A. Juditsky , G. Lan , A. Shapiro, Robust Stochastic Approximation Approach to Stochastic Programming, SIAM J. Optim
2009
Later among the works it cites.
L. Xiao, Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization, ISMP 2009, Chicago, August 23-28 (2009)
2009
Later among the works it cites.
V. Lemaire, G. Pagès, Unconstrained recursive importance sampling, Ann. Appl. Probab
2010
Later among the works it cites.
M. Raginsky, A. Rakhlin. Information-based complexity, feedback and dynamics in convex programming, IEEE Trans. on Information Theory,
2011
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
A. Juditsky, A. Nemirovski, Large Deviations of Vector-valued Martingales in 2-Smooth Normed Spaces
Cited in the paper.
A. Agarwal, P. L. Bartlett, P. Ravikumar, M. J. Wainwright. Information-Theoretic Lower Bounds on the Oracle Complexity of Stochastic Convex Optimization IEEE Trans. Information Theory
2012
Later among the works it cites.