Pages that link to "Item:Q3648521"
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The following pages link to Robust Stochastic Approximation Approach to Stochastic Programming (Q3648521):
Displaying 50 items.
- Weakly-convex–concave min–max optimization: provable algorithms and applications in machine learning (Q5043854) (← links)
- (Q5053196) (← links)
- (Q5053317) (← links)
- Stochastic Optimization for Dynamic Pricing (Q5054161) (← links)
- (Q5054630) (← links)
- (Q5054653) (← links)
- Stochastic approximation versus sample average approximation for Wasserstein barycenters (Q5058387) (← links)
- Isotonicity of the proximity operator and stochastic optimization problems in Hilbert quasi-lattices endowed with Lorentz cones (Q5058413) (← links)
- ALSO-X and ALSO-X+: Better Convex Approximations for Chance Constrained Programs (Q5060524) (← links)
- Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm (Q5060780) (← links)
- An Augmented Lagrangian Deep Learning Method for Variational Problems with Essential Boundary Conditions (Q5065200) (← links)
- Stochastic Learning Approach for Binary Optimization: Application to Bayesian Optimal Design of Experiments (Q5071443) (← links)
- Complexity Analysis of stochastic gradient methods for PDE-constrained optimal Control Problems with uncertain parameters (Q5074382) (← links)
- Adaptivity of Stochastic Gradient Methods for Nonconvex Optimization (Q5076671) (← links)
- Graphical Convergence of Subgradients in Nonconvex Optimization and Learning (Q5076697) (← links)
- A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization (Q5076721) (← links)
- The Random Batch Method for N-Body Quantum Dynamics (Q5079539) (← links)
- An Accelerated Method for Derivative-Free Smooth Stochastic Convex Optimization (Q5081777) (← links)
- On the Convergence of Stochastic Primal-Dual Hybrid Gradient (Q5081780) (← links)
- A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data (Q5081796) (← links)
- Accelerated Stochastic Algorithms for Convex-Concave Saddle-Point Problems (Q5085148) (← links)
- Optimal Transport-Based Distributionally Robust Optimization: Structural Properties and Iterative Schemes (Q5085150) (← links)
- Coupled Learning Enabled Stochastic Programming with Endogenous Uncertainty (Q5085157) (← links)
- (Q5096506) (← links)
- The Stochastic Auxiliary Problem Principle in Banach Spaces: Measurability and Convergence (Q5097016) (← links)
- Simple and Optimal Methods for Stochastic Variational Inequalities, I: Operator Extrapolation (Q5097022) (← links)
- On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis (Q5107212) (← links)
- Stochastic Reformulations of Linear Systems: Algorithms and Convergence Theory (Q5112239) (← links)
- On the Adaptivity of Stochastic Gradient-Based Optimization (Q5114394) (← links)
- An Inverse-Adjusted Best Response Algorithm for Nash Equilibria (Q5114400) (← links)
- Primal-Dual Stochastic Gradient Method for Convex Programs with Many Functional Constraints (Q5114401) (← links)
- Randomized Linear Programming Solves the Markov Decision Problem in Nearly Linear (Sometimes Sublinear) Time (Q5119845) (← links)
- Optimization-Based Calibration of Simulation Input Models (Q5129200) (← links)
- Mitigating Interdiction Risk with Fortification (Q5131462) (← links)
- Online First-Order Framework for Robust Convex Optimization (Q5131545) (← links)
- A Stochastic Gradient Method With Mesh Refinement for PDE-Constrained Optimization Under Uncertainty (Q5131980) (← links)
- Stability and optimization error of stochastic gradient descent for pairwise learning (Q5132230) (← links)
- An Asymptotically Optimal Set Approach for Simulation Optimization (Q5137434) (← links)
- (Q5148925) (← links)
- (Q5148937) (← links)
- (Q5148952) (← links)
- (Q5148992) (← links)
- (Q5149016) (← links)
- (Q5149264) (← links)
- (Q5152051) (← links)
- Conditional Gradient Methods for Convex Optimization with General Affine and Nonlinear Constraints (Q5158760) (← links)
- (Q5159404) (← links)
- (Q5159451) (← links)
- (Q5159454) (← links)
- New nonasymptotic convergence rates of stochastic proximal point algorithm for stochastic convex optimization (Q5162590) (← links)
