Copertina

Residuals-Based Contextual Distributionally Robust Optimization with Decision-Dependent Uncertainty: Theoretical Guarantees and Decomposition Algorithm

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhu, Qing, Yu, Xian, Bayraksan, Guzin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Optimization and Control
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Multi-horizon optimization for domestic renewable energy system design under uncertainty
di: Micheli, Giovanni, et al.
Pubblicazione: (2025)

Distributionally Robust Optimization with Multimodal Decision-Dependent Ambiguity Sets
di: Yu, Xian, et al.
Pubblicazione: (2024)

Distributionally Robust Optimization for Chemotherapy Scheduling under Asymmetric and Multi-Modal Uncertainty
di: Zhu, Qing, et al.
Pubblicazione: (2025)

Distributionally Robust Optimization with Decision-Dependent Information Discovery
di: Jin, Qing, et al.
Pubblicazione: (2024)

Residuals-based Offline Reinforcement Learning
di: Zhu, Qing, et al.
Pubblicazione: (2026)

Decision-Dependent Distributionally Robust Optimization with Application to Dynamic Pricing
di: Qu, Chengrui, et al.
Pubblicazione: (2025)

Towards Robust Learning to Optimize with Theoretical Guarantees
di: Song, Qingyu, et al.
Pubblicazione: (2025)

Learning Decision-Focused Uncertainty Sets in Robust Optimization
di: Wang, Irina, et al.
Pubblicazione: (2023)

Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
di: McAllister, Robert D., et al.
Pubblicazione: (2023)

Decision-Dependent Uncertainty-Aware Distribution System Planning Under Wildfire Risk
di: Piancó, Felipe, et al.
Pubblicazione: (2024)

A Survey of Contextual Optimization Methods for Decision Making under Uncertainty
di: Sadana, Utsav, et al.
Pubblicazione: (2023)

Optimal SVI-Weighted PSPS Decisions with Decision-Dependent Outage Uncertainty
di: Greenough, Ryan, et al.
Pubblicazione: (2025)

Stochastic Non-Smooth Non-Convex Optimization with Decision-Dependent Distributions
di: Liu, Chengchang, et al.
Pubblicazione: (2026)

Decision-Dependent Stochastic Optimization: The Role of Distribution Dynamics
di: He, Zhiyu, et al.
Pubblicazione: (2025)

Revealing Decision Conservativeness Through Inverse Distributionally Robust Optimization
di: Li, Qi, et al.
Pubblicazione: (2024)

One-Point Residual Feedback Algorithms for Distributed Online Convex and Non-convex Optimization
di: Wang, Yaowen, et al.
Pubblicazione: (2025)

Transition Uncertainties in Constrained Markov Decision Models: A Robust Optimization Approach
di: Varagapriya, V
Pubblicazione: (2025)

Distributionally Preference Robust Optimization in Multi-Attribute Decision Making
di: Hu, Jian, et al.
Pubblicazione: (2022)

Decomposition and Successive Decomposition Methods and Algorithms for Nonconvex Optimization
di: Zhai, Yiqing, et al.
Pubblicazione: (2026)

Robust Constrained Consensus and Inequality-constrained Distributed Optimization with Guaranteed Differential Privacy and Accurate Convergence
di: Wang, Yongqiang, et al.
Pubblicazione: (2024)

Robust Regret Control with Uncertainty-Dependent Baseline
di: Liu, Jietian, et al.
Pubblicazione: (2025)

Delay-Aware Robust Edge Network Hardening Under Decision-Dependent Uncertainty
di: Cheng, Jiaming, et al.
Pubblicazione: (2024)

Uncertainty Partitioning with Probabilistic Feasibility and Performance Guarantees for Chance-Constrained Optimization
di: Cordiano, Francesco, et al.
Pubblicazione: (2025)

The L-Shaped Method for Stochastic Programs with Decision-Dependent Uncertainty
di: Pantuso, Giovanni, et al.
Pubblicazione: (2025)

Distributionally Robust Optimization via Iterative Algorithms in Continuous Probability Spaces
di: Zhu, Linglingzhi, et al.
Pubblicazione: (2024)

Disentangling Resilience from Robustness: Contextual Dualism, Interactionism, and Game-Theoretic Paradigms
di: Zhu, Quanyan, et al.
Pubblicazione: (2024)

Data-Driven Contextual-Aware Uncertainty Set for Robust Dispatch of Power Systems
di: Ruan, Zhaojun, et al.
Pubblicazione: (2026)

Variable Projection Algorithms: Theoretical Insights and A Novel Approach for Problems with Large Residual
di: Chen, Guangyong, et al.
Pubblicazione: (2024)

Parameter-Free Algorithms for Performative Regret Minimization under Decision-Dependent Distributions
di: Park, Sungwoo, et al.
Pubblicazione: (2024)

On the Sparsity of Optimal Linear Decision Rules for a Class of Robust Optimization Problems with Box Uncertainty Sets
di: Lu, Haihao, et al.
Pubblicazione: (2022)

On Distributionally Robust Multistage Convex Optimization: New Algorithms and Complexity Analysis
di: Zhang, Shixuan, et al.
Pubblicazione: (2020)

Distributed Truncated Predictive Control for Networked Systems under Uncertainty: Stability and Near-Optimality Guarantee
di: Xu, Eric, et al.
Pubblicazione: (2023)

Robust Sparse Phase Retrieval: Statistical Guarantee, Optimality Theory and Convergent Algorithm
di: Fan, Jun, et al.
Pubblicazione: (2025)

An Adaptive Smoothing Algorithm for Non-Lipschitz Optimization on Manifolds with Complexity Guarantees
di: Wang, Lei, et al.
Pubblicazione: (2026)

A Distributionally Robust Optimization Approach to Quick Response Models under Demand Uncertainty
di: Papavassilopoulos, Panayotis P., et al.
Pubblicazione: (2025)

Closed-loop Performance Optimization of Model Predictive Control with Robustness Guarantees
di: Zuliani, Riccardo, et al.
Pubblicazione: (2024)

A Cutting-plane and Benders' Decomposition Algorithm for Two-Stage Distributionally Robust Convex programs
di: Luo, Fengqiao, et al.
Pubblicazione: (2021)

U-OBCA: Uncertainty-Aware Optimization-Based Collision Avoidance via Wasserstein Distributionally Robust Chance Constraints
di: Wang, Zehao, et al.
Pubblicazione: (2026)

Achieving Robust Data-driven Contextual Decision Making in a Data Augmentation Way
di: Li, Zhaoen, et al.
Pubblicazione: (2024)

Projected Gradient Descent for Constrained Decision-Dependent Optimization
di: Wang, Zifan, et al.
Pubblicazione: (2025)