Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Kuhn, Daniel, Esfahani, Peyman Mohajerin, Nguyen, Viet Anh, Shafieezadeh-Abadeh, Soroosh |
|---|---|
| Format: | Preprint |
| Published: |
2019
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Nonlinear Distributionally Robust Optimization
by: Sheriff, Mohammed Rayyan, et al.
Published: (2023)
by: Sheriff, Mohammed Rayyan, et al.
Published: (2023)
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025)
by: Dimanidis, Ioannis, et al.
Published: (2025)
Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity
by: Boveiri, Mohammad, et al.
Published: (2024)
by: Boveiri, Mohammad, et al.
Published: (2024)
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)
Distributionally Robust Optimization
by: Kuhn, Daniel, et al.
Published: (2024)
by: Kuhn, Daniel, et al.
Published: (2024)
Wasserstein Distributionally Robust Online Learning
by: Chen, Guixian, et al.
Published: (2026)
by: Chen, Guixian, et al.
Published: (2026)
Tight Generalization Bounds for Noiseless Inverse Optimization
by: Fatemi, Pouria, et al.
Published: (2026)
by: Fatemi, Pouria, et al.
Published: (2026)
Scalable Kernel Inverse Optimization
by: Long, Youyuan, et al.
Published: (2024)
by: Long, Youyuan, et al.
Published: (2024)
Inverse Optimization for Routing Problems
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023)
Fast Algorithm for Constrained Linear Inverse Problems
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
by: Sheriff, Mohammed Rayyan, et al.
Published: (2022)
A Saddle Point Algorithm for Robust Data-Driven Factor Model Problems
by: Khodakaramzadeh, Shabnam, et al.
Published: (2025)
by: Khodakaramzadeh, Shabnam, et al.
Published: (2025)
A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set
by: Yue, Man-Chung, et al.
Published: (2024)
by: Yue, Man-Chung, et al.
Published: (2024)
Distributionally Robust Model Predictive Control: Closed-loop Guarantees and Scalable Algorithms
by: McAllister, Robert D., et al.
Published: (2023)
by: McAllister, Robert D., et al.
Published: (2023)
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
by: Shafiee, Soroosh, et al.
Published: (2023)
by: Shafiee, Soroosh, et al.
Published: (2023)
Inverse Optimization via Learning Feasible Regions
by: Ren, Ke, et al.
Published: (2025)
by: Ren, Ke, et al.
Published: (2025)
Efficient Uncertainty Propagation with Guarantees in Wasserstein Distance
by: Figueiredo, Eduardo, et al.
Published: (2025)
by: Figueiredo, Eduardo, et al.
Published: (2025)
Rank-One Modified Value Iteration
by: Kolarijani, Arman Sharifi, et al.
Published: (2025)
by: Kolarijani, Arman Sharifi, et al.
Published: (2025)
SCOPE: Spectral Concentration by Distributionally Robust Joint Covariance-Precision Estimation
by: Chen, Renjie, et al.
Published: (2025)
by: Chen, Renjie, et al.
Published: (2025)
Wasserstein Distributionally Robust Estimation in High Dimensions: Performance Analysis and Optimal Hyperparameter Tuning
by: Aolaritei, Liviu, et al.
Published: (2022)
by: Aolaritei, Liviu, et al.
Published: (2022)
Mean-Covariance Robust Risk Measurement
by: Nguyen, Viet Anh, et al.
Published: (2021)
by: Nguyen, Viet Anh, et al.
Published: (2021)
Unifying Distributionally Robust Optimization via Optimal Transport Theory
by: Blanchet, Jose, et al.
Published: (2023)
by: Blanchet, Jose, et al.
Published: (2023)
Wasserstein Distributionally Robust Regret Optimization
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
Provably data-driven projection method for quadratic programming
by: Nguyen, Anh Tuan, et al.
Published: (2025)
by: Nguyen, Anh Tuan, et al.
Published: (2025)
Locally Linear Convergence for Nonsmooth Convex Optimization via Coupled Smoothing and Momentum
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
Robust Multivariate Detection and Estimation with Fault Frequency Content Information
by: Dong, Jingwei, et al.
Published: (2023)
by: Dong, Jingwei, et al.
Published: (2023)
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization
by: Wu, Qinyu, et al.
Published: (2022)
by: Wu, Qinyu, et al.
Published: (2022)
Accelerating Adaptive Systems via Normalized Parameter Estimation Laws
by: Boveiri, Mohammad, et al.
Published: (2025)
by: Boveiri, Mohammad, et al.
Published: (2025)
Distributional Surgery for Language Model Activations
by: Nguyen, Bao, et al.
Published: (2025)
by: Nguyen, Bao, et al.
Published: (2025)
Tight Robustness Certificates and Wasserstein Distributional Attacks for Deep Neural Networks
by: Le, Bach C., et al.
Published: (2025)
by: Le, Bach C., et al.
Published: (2025)
Selective Ambulance Dispatch Under Contextual Travel-Time Uncertainty
by: Lin, Zikun, et al.
Published: (2026)
by: Lin, Zikun, et al.
Published: (2026)
A New Lineserach for Accelerated Composite Minimization
by: Baghbadorani, Reza Rahimi, et al.
Published: (2024)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2024)
A Hybrid Algorithm for Monotone Variational Inequalities
by: Baghbadorani, Reza Rahimi, et al.
Published: (2026)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2026)
A Frank-Wolfe Algorithm for Strongly Monotone Variational Inequalities
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
by: Baghbadorani, Reza Rahimi, et al.
Published: (2025)
Control and Reinforcement Learning through the Lens of Optimization: An Algorithmic Perspective
by: Ok, Tolga, et al.
Published: (2025)
by: Ok, Tolga, et al.
Published: (2025)
Optimal Transportation by Orthogonal Coupling Dynamics
by: Sadr, Mohsen, et al.
Published: (2024)
by: Sadr, Mohsen, et al.
Published: (2024)
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints
by: Tuan, Tran Anh, et al.
Published: (2024)
by: Tuan, Tran Anh, et al.
Published: (2024)
Wasserstein Distributionally Robust Regret Optimization for Reinforcement Learning from Human Feedback
by: Wang, Yikai, et al.
Published: (2026)
by: Wang, Yikai, et al.
Published: (2026)
Wasserstein Distributionally Robust Shallow Convex Neural Networks
by: Pallage, Julien, et al.
Published: (2024)
by: Pallage, Julien, et al.
Published: (2024)
Optimal Bayesian Affine Estimator and Active Learning for the Wiener Model
by: Vakili, Sasan, et al.
Published: (2025)
by: Vakili, Sasan, et al.
Published: (2025)
Similar Items
-
Nonlinear Distributionally Robust Optimization
by: Sheriff, Mohammed Rayyan, et al.
Published: (2023) -
Offline Reinforcement Learning via Inverse Optimization
by: Dimanidis, Ioannis, et al.
Published: (2025) -
Variance-Reduced Cascade Q-learning: Algorithms and Sample Complexity
by: Boveiri, Mohammad, et al.
Published: (2024) -
Learning in Inverse Optimization: Incenter Cost, Augmented Suboptimality Loss, and Algorithms
by: Scroccaro, Pedro Zattoni, et al.
Published: (2023) -
From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)