The following pages link to Data-driven robust optimization (Q1702776):
Displaying 50 items.
- Distributions with maximum spread subject to Wasserstein distance constraints (Q2422610) (← links)
- Decomposition algorithm for distributionally robust optimization using Wasserstein metric with an application to a class of regression models (Q2424760) (← links)
- Distributionally robust fault detection design and assessment for dynamical systems (Q2663934) (← links)
- Stochastic optimization approaches for elective surgery scheduling with downstream capacity constraints: models, challenges, and opportunities (Q2669630) (← links)
- An iterative security game for computing robust and adaptive network flows (Q2669664) (← links)
- Distributionally robust chance constraint with unimodality-skewness information and conic reformulation (Q2670497) (← links)
- Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations (Q2672063) (← links)
- Joint robust optimization of bed capacity, nurse staffing, and care access under uncertainty (Q2673799) (← links)
- Robust and distributionally robust optimization models for linear support vector machine (Q2676336) (← links)
- A robust optimization approach for the unrelated parallel machine scheduling problem (Q2701168) (← links)
- Statistical optimization in high dimensions (Q2830768) (← links)
- Computationally tractable counterparts of distributionally robust constraints on risk measures (Q2832107) (← links)
- On the solution of stochastic optimization and variational problems in imperfect information regimes (Q2832894) (← links)
- A distributional interpretation of robust optimization (Q2884306) (← links)
- Primal-Dual Algorithms for Optimization with Stochastic Dominance (Q2954172) (← links)
- Uncertainty feature optimization: An implicit paradigm for problems with noisy data (Q3008922) (← links)
- Distributionally Robust Design for Redundancy Allocation (Q3386788) (← links)
- Robust Queueing Theory (Q3450468) (← links)
- Optimal Information Blending with Measurements in the <i>L</i><sup>2</sup> Sphere (Q3465948) (← links)
- Ambiguous Joint Chance Constraints Under Mean and Dispersion Information (Q4604907) (← links)
- Data-driven robust mean-CVaR portfolio selection under distribution ambiguity (Q4628038) (← links)
- A Bayesian Risk Approach to Data-driven Stochastic Optimization: Formulations and Asymptotics (Q4641673) (← links)
- Statistics of Robust Optimization: A Generalized Empirical Likelihood Approach (Q4958550) (← links)
- Distributionally Robust Stochastic Dual Dynamic Programming (Q4971026) (← links)
- Risk-Averse Two-Stage Stochastic Program with Distributional Ambiguity (Q4971569) (← links)
- Robust Multiperiod Vehicle Routing Under Customer Order Uncertainty (Q4994141) (← links)
- The Discrete Moment Problem with Nonconvex Shape Constraints (Q4994156) (← links)
- (Q4998952) (← links)
- Rejoinder: New Objectives for Policy Learning (Q4999146) (← links)
- Admissibility of Solution Estimators for Stochastic Optimization (Q4999345) (← links)
- Efficient Algorithms for Distributionally Robust Stochastic Optimization with Discrete Scenario Support (Q5003210) (← links)
- Probabilistic Guarantees in Robust Optimization (Q5013583) (← links)
- Data-Driven Robust Resource Allocation with Monotonic Cost Functions (Q5031001) (← links)
- Data-Driven Optimization: A Reproducing Kernel Hilbert Space Approach (Q5031022) (← links)
- Calibration of Distributionally Robust Empirical Optimization Models (Q5031650) (← links)
- Extending the Scope of Robust Quadratic Optimization (Q5084646) (← links)
- Radius of Robust Feasibility for Mixed-Integer Problems (Q5084649) (← links)
- Computationally Efficient Approximations for Distributionally Robust Optimization Under Moment and Wasserstein Ambiguity (Q5087739) (← links)
- Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application (Q5087740) (← links)
- Distributionally Robust Two-Stage Stochastic Programming (Q5093642) (← links)
- The Distributionally Robust Chance-Constrained Vehicle Routing Problem (Q5130504) (← links)
- Data-Driven Decisions for Problems with an Unspecified Objective Function (Q5137432) (← links)
- A survey of nonlinear robust optimization (Q5882395) (← links)
- The role of optimization in some recent advances in data-driven decision-making (Q6044973) (← links)
- Distributionally robust possibilistic optimization problems (Q6061516) (← links)
- On data-driven chance constraint learning for mixed-integer optimization problems (Q6072771) (← links)
- Customer satisfaction in the presence of imperfect knowledge of data (Q6079909) (← links)
- A generalized robust data envelopment analysis model based on directional distance function (Q6096583) (← links)
- Robust optimization with order statistic uncertainty set (Q6096627) (← links)
- Data-driven robust optimization using deep neural networks (Q6109292) (← links)
