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The following pages link to Probabilistic bounds (via large deviations) for the solutions of stochastic programming problems (Q1896453):

Displaying 24 items.

A remark on multiobjective stochastic optimization via strongly convex functions (Q314598) (← links)
Challenges in stochastic programming (Q1363423) (← links)
Convergence conditions for the observed mean method in stochastic programming (Q1745693) (← links)
Bounds for probabilistic integer programming problems (Q1850114) (← links)
A parallel inexact Newton method for stochastic programs with recourse (Q1918424) (← links)
Large deviations of empirical estimates in the stochastic programming problem for the homogeneous random field with a discrete parameter (Q2058688) (← links)
Asymptotic behavior of solutions: an application to stochastic NLP (Q2118078) (← links)
On rates of convergence for sample average approximations in the almost sure sense and in mean (Q2118080) (← links)
On a multistage discrete stochastic optimization problem with stochastic constraints and nested sampling (Q2235138) (← links)
Some large deviations results for Latin hypercube sampling (Q2276415) (← links)
Large deviations of empirical estimates in the stochastic programming problem with nonstationary observations and continuous time (Q2287414) (← links)
Stochastic Nash equilibrium problems: sample average approximation and applications (Q2393651) (← links)
Method of empirical means in stochastic programming problems (Q2458088) (← links)
Thin and heavy tails in stochastic programming (Q2948128) (← links)
A non-exponential extension of Sanov’s theorem via convex duality (Q3298814) (← links)
(Q3585646) (← links)
(Q4212961) (← links)
Graphical Convergence of Subgradients in Nonconvex Optimization and Learning (Q5076697) (← links)
(Q5184673) (← links)
(Q5389683) (← links)
(Q5389684) (← links)
Convergence properties of two-stage stochastic programming (Q5925743) (← links)
Consistency of Monte Carlo estimators for risk-neutral PDE-constrained optimization (Q6043153) (← links)
Moderate Deviations and Invariance Principles for Sample Average Approximations (Q6158005) (← links)