Learning-Based Surrogate Method for Stochastic Optimization under Decision-Dependent Uncertainty with Adaptive Random Designs

arXiv:2505.07298 · math.OC, stat.ML · Submitted 2025-05-12 · Read on arXiv

math.OC, stat.ML

Submitted: 2025-05-12

Updated: 2026-09-10

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 14× in this paper · explained in 1 episode
• Adaptive Learning-based Surrogate — 5× in this paper
• Objective Function — 5× in this paper · explained in 2 episodes
• Algorithmic Stability — 4× in this paper · explained in 1 episode
• Regularization — 3× in this paper · explained in 3 episodes
• Sample Complexity — 3× in this paper · explained in 15 episodes
• Sample Efficiency — 3× in this paper · explained in 4 episodes
• Curse of Dimensionality — 2× in this paper · explained in 6 episodes
• Heteroscedasticity — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Multi-objective Optimization — 1× in this paper · explained in 4 episodes
• Support Vector Regression (SVR) — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

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