Exactly or Approximately Wasserstein Distributionally Robust Estimation According to Wasserstein Radii Being Small or Large
Fuente:
arXiv
Saved in:
| Main Authors: | Ding, Xiao, Song, Enbin, Niu, Dunbiao, Cao, Zhujun, Shi, Qingjiang |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Wasserstein Distributionally Robust Quantile Regression
by: Zhang, Chunxu, et al.
Published: (2026)
by: Zhang, Chunxu, et al.
Published: (2026)
Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
by: Taha, Feras Al, et al.
Published: (2026)
by: Taha, Feras Al, et al.
Published: (2026)
Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
by: Rychener, Yves, et al.
Published: (2024)
by: Rychener, Yves, et al.
Published: (2024)
Wasserstein Proximal Coordinate Gradient Algorithms
by: Yao, Rentian, et al.
Published: (2024)
by: Yao, Rentian, et al.
Published: (2024)
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)
by: Farokhi, Farhad
Published: (2023)
Robust Phase Retrieval by Alternating Minimization
by: Kim, Seonho, et al.
Published: (2024)
by: Kim, Seonho, et al.
Published: (2024)
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
by: Rioux, Gabriel, et al.
Published: (2023)
by: Rioux, Gabriel, et al.
Published: (2023)
Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)
by: Cheridito, Patrick, et al.
Published: (2023)
Computing Capacity-Cost Functions for Continuous Channels in Wasserstein Space
by: Li, Xinyang, et al.
Published: (2025)
by: Li, Xinyang, et al.
Published: (2025)
Wasserstein Distributionally Robust Performative Prediction
by: Wang, Siyi, et al.
Published: (2026)
by: Wang, Siyi, et al.
Published: (2026)
Wasserstein Distributionally Robust Control and State Estimation for Partially Observable Linear Systems
by: Jang, Minhyuk, et al.
Published: (2024)
by: Jang, Minhyuk, et al.
Published: (2024)
Sample Average Approximation for Distributionally Robust Optimization with $ϕ$-divergences
by: Li, Yan
Published: (2026)
by: Li, Yan
Published: (2026)
Robustness to Model Approximation, Model Learning From Data, and Sample Complexity in Wasserstein Regular MDPs
by: Zhou, Yichen, et al.
Published: (2024)
by: Zhou, Yichen, et al.
Published: (2024)
Distributionally Robust Density Control with Wasserstein Ambiguity Sets
by: Pilipovsky, Joshua, et al.
Published: (2024)
by: Pilipovsky, Joshua, et al.
Published: (2024)
Wasserstein Distributionally Robust Regret Optimization
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
by: Fiechtner, Lukas-Benedikt, et al.
Published: (2025)
Wasserstein Distributionally Robust Online Learning
by: Chen, Guixian, et al.
Published: (2026)
by: Chen, Guixian, et al.
Published: (2026)
Algorithms for mean-field variational inference via polyhedral optimization in the Wasserstein space
by: Jiang, Yiheng, et al.
Published: (2023)
by: Jiang, Yiheng, et al.
Published: (2023)
G{é}n{é}ration de Matrices de Corr{é}lation avec des Structures de Graphe par Optimisation Convexe
by: Fahkar, Ali, et al.
Published: (2025)
by: Fahkar, Ali, et al.
Published: (2025)
Generating Correlation Matrices with Graph Structures Using Convex Optimization
by: Fakhar, Ali, et al.
Published: (2025)
by: Fakhar, Ali, et al.
Published: (2025)
Convergence of flow-based generative models via proximal gradient descent in Wasserstein space
by: Cheng, Xiuyuan, et al.
Published: (2023)
by: Cheng, Xiuyuan, et al.
Published: (2023)
Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon
by: Kargin, Taylan, et al.
Published: (2023)
by: Kargin, Taylan, et al.
Published: (2023)
Moment Relaxations for Data-Driven Wasserstein Distributionally Robust Optimization
by: Zhang, Shixuan, et al.
Published: (2025)
by: Zhang, Shixuan, et al.
Published: (2025)
Distributionally Robust Kalman Filtering over Finite and Infinite Horizon
by: Kargin, Taylan, et al.
Published: (2024)
by: Kargin, Taylan, et al.
Published: (2024)
Piecewise Linearity of Min-Norm Solution Map of a Nonconvexly Regularized Convex Sparse Model
by: Zhang, Yi, et al.
Published: (2023)
by: Zhang, Yi, et al.
Published: (2023)
Distributionally Robust Power Policies for Wireless Systems under Power Fluctuation Risk
by: Yaylali, Gokberk, et al.
Published: (2024)
by: Yaylali, Gokberk, et al.
Published: (2024)
Wasserstein Distributionally Robust Shallow Convex Neural Networks
by: Pallage, Julien, et al.
Published: (2024)
by: Pallage, Julien, et al.
Published: (2024)
On Generalization and Regularization via Wasserstein Distributionally Robust Optimization
by: Wu, Qinyu, et al.
Published: (2022)
by: Wu, Qinyu, et al.
Published: (2022)
Wasserstein Conditional Independence Testing
by: Warren, Andrew
Published: (2021)
by: Warren, Andrew
Published: (2021)
Distributionally Robust Airport Ground Holding Problem under Wasserstein Ambiguity Sets
by: Wu, Haochen, et al.
Published: (2023)
by: Wu, Haochen, et al.
Published: (2023)
A Unified Theoretic and Algorithmic Framework for Solving Multivariate Linear Model with $\ell^1$-norm Approximation
by: Feng, Zhi-Qiang, et al.
Published: (2025)
by: Feng, Zhi-Qiang, et al.
Published: (2025)
On the computation of the infinity Wasserstein distance and the Wasserstein Projection Problem
by: Auricchio, Gennaro, et al.
Published: (2025)
by: Auricchio, Gennaro, et al.
Published: (2025)
Large Deviations Principle for Bures-Wasserstein Barycenters
by: Jaffe, Adam Quinn, et al.
Published: (2024)
by: Jaffe, Adam Quinn, et al.
Published: (2024)
Enhancing Distributional Robustness in Principal Component Analysis by Wasserstein Distances
by: Wang, Lei, et al.
Published: (2025)
by: Wang, Lei, et al.
Published: (2025)
Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning
by: Kuhn, Daniel, et al.
Published: (2019)
by: Kuhn, Daniel, et al.
Published: (2019)
Distributionally Robust Instrumental Variables Estimation
by: Qu, Zhaonan, et al.
Published: (2024)
by: Qu, Zhaonan, et al.
Published: (2024)
Statistical inference of convex order by Wasserstein projection
by: Kim, Jakwang, et al.
Published: (2024)
by: Kim, Jakwang, et al.
Published: (2024)
Two-Stage Distributionally Robust Conic Linear Programming over 1-Wasserstein Balls
by: Byeon, Geunyeong, et al.
Published: (2022)
by: Byeon, Geunyeong, et al.
Published: (2022)
Constrained Stochastic Recursive Momentum Successive Convex Approximation
by: Idrees, Basil M., et al.
Published: (2024)
by: Idrees, Basil M., et al.
Published: (2024)
On Wasserstein Distributionally Robust Mean Semi-Absolute Deviation Portfolio Model: Robust Selection and Efficient Computation
by: Zhou, Weimi, et al.
Published: (2024)
by: Zhou, Weimi, et al.
Published: (2024)
Distributionally Fair Stochastic Optimization using Wasserstein Distance
by: Ye, Qing, et al.
Published: (2024)
by: Ye, Qing, et al.
Published: (2024)
Similar Items
-
Wasserstein Distributionally Robust Quantile Regression
by: Zhang, Chunxu, et al.
Published: (2026) -
Wasserstein Distributionally Robust Risk-Sensitive Estimation via Conditional Value-at-Risk
by: Taha, Feras Al, et al.
Published: (2026) -
Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
by: Rychener, Yves, et al.
Published: (2024) -
Wasserstein Proximal Coordinate Gradient Algorithms
by: Yao, Rentian, et al.
Published: (2024) -
Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)