Robust Estimation under the Wasserstein Distance
Fuente:
arXiv
Saved in:
| Main Authors: | Nietert, Sloan, Cummings, Rachel, Goldfeld, Ziv |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robust Alignment via Partial Gromov-Wasserstein Distances
by: Gong, Xiaoyun, et al.
Published: (2025)
by: Gong, Xiaoyun, et al.
Published: (2025)
Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025)
by: Nietert, Sloan, et al.
Published: (2025)
Robust Distribution Learning with Local and Global Adversarial Corruptions
by: Nietert, Sloan, et al.
Published: (2024)
by: Nietert, Sloan, 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)
Neural Entropic Optimal Transport and Gromov-Wasserstein Alignment
by: Wang, Tao, et al.
Published: (2023)
by: Wang, Tao, et al.
Published: (2023)
Quantum Neural Estimation of Entropies
by: Goldfeld, Ziv, et al.
Published: (2023)
by: Goldfeld, Ziv, et al.
Published: (2023)
Neural Estimation Of Entropic Optimal Transport
by: Wang, Tao, et al.
Published: (2024)
by: Wang, Tao, et al.
Published: (2024)
Limit Laws for Gromov-Wasserstein Alignment with Applications to Testing Graph Isomorphisms
by: Rioux, Gabriel, et al.
Published: (2024)
by: Rioux, Gabriel, et al.
Published: (2024)
Minimax Statistical Estimation under Wasserstein Contamination
by: Chao, Patrick, et al.
Published: (2023)
by: Chao, Patrick, et al.
Published: (2023)
Optimal Transportation and Alignment Between Gaussian Measures
by: Dandapanthula, Sanjit, et al.
Published: (2025)
by: Dandapanthula, Sanjit, et al.
Published: (2025)
Bounds in Wasserstein Distance for Locally Stationary Processes
by: Tinio, Jan Nino G., et al.
Published: (2024)
by: Tinio, Jan Nino G., et al.
Published: (2024)
Sliced Inner Product Gromov-Wasserstein Distances
by: Gong, Xiaoyun, et al.
Published: (2026)
by: Gong, Xiaoyun, et al.
Published: (2026)
Bounds in Wasserstein Distance for Locally Stationary Functional Time Series
by: Tinio, Jan Nino G., et al.
Published: (2025)
by: Tinio, Jan Nino G., et al.
Published: (2025)
Robust Mean Estimation under Quantization
by: Abdalla, Pedro, et al.
Published: (2026)
by: Abdalla, Pedro, et al.
Published: (2026)
Instance-Optimal Private Density Estimation in the Wasserstein Distance
by: Feldman, Vitaly, et al.
Published: (2024)
by: Feldman, Vitaly, et al.
Published: (2024)
Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds
by: Arsenyan, Vahan, et al.
Published: (2025)
by: Arsenyan, Vahan, et al.
Published: (2025)
Information-Theoretic Generalization Bounds for Deep Neural Networks
by: He, Haiyun, et al.
Published: (2024)
by: He, Haiyun, et al.
Published: (2024)
Estimation and inference for the Wasserstein distance between mixing measures in topic models
by: Bing, Xin, et al.
Published: (2022)
by: Bing, Xin, et al.
Published: (2022)
Provable Robust Overfitting Mitigation in Wasserstein Distributionally Robust Optimization
by: Liu, Shuang, et al.
Published: (2025)
by: Liu, Shuang, et al.
Published: (2025)
Extended Wasserstein-GAN Approach to Causal Distribution Learning: Density-Free Estimation and Minimax Optimality
by: Tamano, Shu, et al.
Published: (2026)
by: Tamano, Shu, et al.
Published: (2026)
On Robust Hypothesis Testing with respect to the Hellinger Distance
by: Modak, Eeshan, et al.
Published: (2025)
by: Modak, Eeshan, et al.
Published: (2025)
Wasserstein Transfer Learning
by: Zhang, Kaicheng, et al.
Published: (2025)
by: Zhang, Kaicheng, et al.
Published: (2025)
Robust Point Matching with Distance Profiles
by: Hur, YoonHaeng, et al.
Published: (2023)
by: Hur, YoonHaeng, et al.
Published: (2023)
Performance Guarantees for Quantum Neural Estimation of Entropies
by: Sreekumar, Sreejith, et al.
Published: (2025)
by: Sreekumar, Sreejith, et al.
Published: (2025)
Stability and statistical inference for semidiscrete optimal transport maps
by: Sadhu, Ritwik, et al.
Published: (2023)
by: Sadhu, Ritwik, et al.
Published: (2023)
Wasserstein KL-divergence for Gaussian distributions
by: Datar, Adwait, et al.
Published: (2025)
by: Datar, Adwait, et al.
Published: (2025)
Conformal Robust Set Estimation
by: Cholaquidis, Alejandro, et al.
Published: (2026)
by: Cholaquidis, Alejandro, et al.
Published: (2026)
Efficient and Multiply Robust Risk Estimation under General Forms of Dataset Shift
by: Qiu, Hongxiang, et al.
Published: (2023)
by: Qiu, Hongxiang, et al.
Published: (2023)
On the attainment of the Wasserstein--Cramer--Rao lower bound
by: Nishimori, Hayato, et al.
Published: (2025)
by: Nishimori, Hayato, et al.
Published: (2025)
Wasserstein Convergence of Critically Damped Langevin Diffusions
by: Strasman, Stanislas, et al.
Published: (2025)
by: Strasman, Stanislas, et al.
Published: (2025)
Distribution Estimation under the Infinity Norm
by: Kontorovich, Aryeh, et al.
Published: (2024)
by: Kontorovich, Aryeh, et al.
Published: (2024)
Information Geometry of Wasserstein Statistics on Shapes and Affine Deformations
by: Amari, Shun-ichi, et al.
Published: (2023)
by: Amari, Shun-ichi, et al.
Published: (2023)
Optimal Nuisance Function Tuning for Estimating a Doubly Robust Functional under Proportional Asymptotics
by: McGrath, Sean, et al.
Published: (2025)
by: McGrath, Sean, et al.
Published: (2025)
$L^2$ over Wasserstein: Statistical Analysis for Optimal Transport
by: Passeggeri, Riccardo, et al.
Published: (2026)
by: Passeggeri, Riccardo, et al.
Published: (2026)
On the Optimality of the Median-of-Means Estimator under Adversarial Contamination
by: de Juan, Xabier, et al.
Published: (2025)
by: de Juan, Xabier, et al.
Published: (2025)
Robust Estimation Under Heterogeneous Corruption Rates
by: Chaudhuri, Syomantak, et al.
Published: (2025)
by: Chaudhuri, Syomantak, et al.
Published: (2025)
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
by: Chakraborty, Saptarshi, et al.
Published: (2024)
by: Chakraborty, Saptarshi, et al.
Published: (2024)
Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
by: Cai, T. Tony, et al.
Published: (2026)
by: Cai, T. Tony, et al.
Published: (2026)
Finite-Sample Wasserstein Error Bounds and Concentration Inequalities for Nonlinear Stochastic Approximation
by: Kong, Seo Taek, et al.
Published: (2026)
by: Kong, Seo Taek, et al.
Published: (2026)
Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS
by: Han, Ruiyu, et al.
Published: (2024)
by: Han, Ruiyu, et al.
Published: (2024)
Similar Items
-
Robust Alignment via Partial Gromov-Wasserstein Distances
by: Gong, Xiaoyun, et al.
Published: (2025) -
Estimation of Stochastic Optimal Transport Maps
by: Nietert, Sloan, et al.
Published: (2025) -
Robust Distribution Learning with Local and Global Adversarial Corruptions
by: Nietert, Sloan, et al.
Published: (2024) -
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
by: Rioux, Gabriel, et al.
Published: (2023) -
Neural Entropic Optimal Transport and Gromov-Wasserstein Alignment
by: Wang, Tao, et al.
Published: (2023)