Latest Research in Decision Support Optimization

Top Research Topics in Decision Support Optimization

• Optimization and Control — 38 papers
• Statistics Theory — 32 papers
• Machine Learning — 17 papers
• Machine Learning — 13 papers
• Numerical Analysis — 5 papers
• Methodology — 5 papers
• Multi-Criteria Decision Making — 4 papers
• Statistical Mechanics and Entropy — 3 papers
• Probability — 3 papers
• Stochastic Gradient Optimization Techniques — 3 papers

Highest-Cited Papers

1. Analysis of Emerging Engineering Technologies for Sustainable Industrial System Based on Fuzzy Z-Number Linguistic SPC-RS-MAIRCA Models
2. Invariant Statistical Inference: A Framework Beyond Classical Statistical Inference
3. Invariant Statistical Inference: A Framework Beyond Classical Statistical Inference
4. Singular-Subspace Alignment in Norm-Constrained Asymmetric Low-Rank Updates
5. Singular-Subspace Alignment in Norm-Constrained Asymmetric Low-Rank Updates
6. Entropies and Negentropies from f -Divergences and Their Application to Dimensionality Reduction
7. Evidence-Weighted Multi-Criteria Decision Support for Subjective Quality Assessment Under Sparse and Unbalanced Information
8. Comparison of asymmetric and symmetric decision-making bases in generalised grey target decision method for mixed attributes
9. The First-Order Oracle Complexity of Lipschitz Convex Optimization in Nondual Settings
10. Convergence Analysis of a Greedy Algorithm for Conditioning Gaussian Random Variables
11. (Cheap) Stochastic Policy Gradient Converges with High Probability for Linear Quadratic Regulator
12. On Finite-sample Concentration of Median of Incomplete U-Statistics
13. When Is Neyman-Orthogonal Inference Feasible? Existence and Relevance
14. Gradient Descent with Stochastic Subspaces via Persistence of Memory
15. Inverse Problems Over Probability Measure Space
16. A Robust Perceptron Cycling Theorem and Applications
17. Revisiting Distributed Sign-Based Variance Reduction
18. Minimax optimality for sequential gradient-free minimization of smooth functions and their derivatives
19. Robust Error Bounds for Vector-Valued Kernel Ridge Regression
20. Sparse Data Augmentation for Optimization with Provable Guarantees

Sub-Regions

• Optimization and Control — 62 papers
• Programming Languages — 40 papers
• Social and Information Networks — 38 papers
• Machine Learning — 38 papers
• Statistics Theory — 35 papers
• Statistical Mechanics and Entropy — 14 papers