:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Zhu, Qing, Yu, Xian, Bayraksan, Guzin
Format:	Preprint
Published:	2024
Subjects:	Optimization and Control
Online Access:	https://arxiv.org/abs/2406.20004
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2025)

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

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

A Markov Decision Process Framework for Enhancing Power System Resilience during Wildfires under Decision-Dependent Uncertainty
by: Zhao, Xinyi, et al.
Published: (2026)

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

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

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

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

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