Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces

27 April 2018

Papers citing "Convergence and Concentration of Empirical Measures under Wasserstein Distance in Unbounded Functional Spaces"

50 / 78 papers shown

Title
To Switch or Not to Switch? Balanced Policy Switching in Offline Reinforcement Learning Tao Ma Xuzhi Yang Zoltan Szabo OffRL 70 0 0 01 Jul 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions Sloan Nietert Ziv Goldfeld Soroosh Shafiee OOD 36 0 0 10 Jun 2024
Statistical inference of convex order by Wasserstein projection Jakwang Kim Young-Heon Kim Yuanlong Ruan Andrew Warren 39 2 0 05 Jun 2024
Max-sliced Wasserstein concentration and uniform ratio bounds of empirical measures on RKHS Ruiyu Han Cynthia Rush Johannes Wiesel 28 0 0 21 May 2024
Convergence of the Adapted Smoothed Empirical Measures Songyan Hou 24 3 0 26 Jan 2024
Outlier-Robust Wasserstein DRO Sloan Nietert Ziv Goldfeld Soroosh Shafiee 36 9 0 09 Nov 2023
Sample Complexity Bounds for Estimating Probability Divergences under Invariances B. Tahmasebi Stefanie Jegelka 54 6 0 06 Nov 2023
Bridging Distributionally Robust Learning and Offline RL: An Approach to Mitigate Distribution Shift and Partial Data Coverage Kishan Panaganti Zaiyan Xu D. Kalathil Mohammad Ghavamzadeh OOD OffRL 34 6 0 27 Oct 2023
Uniform Confidence Band for Optimal Transport Map on One-Dimensional Data Donlapark Ponnoprat Ryotaro Okano Masaaki Imaizumi OT 26 1 0 18 Jul 2023
Convergence of Empirical Optimal Transport in Unbounded Settings Thomas Staudt Shayan Hundrieser OT 21 4 0 20 Jun 2023
A Framework for Fast and Stable Representations of Multiparameter Persistent Homology Decompositions David Loiseaux Mathieu Carrière Andrew J. Blumberg 69 10 0 19 Jun 2023
On concentration of the empirical measure for radial transport costs Martin Larsson Jonghwa Park Johannes Wiesel OT 10 1 0 29 May 2023
Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation Aniket Das Dheeraj M. Nagaraj 41 7 0 27 May 2023
Towards Understanding the Dynamics of Gaussian-Stein Variational Gradient Descent Tianle Liu Promit Ghosal Krishnakumar Balasubramanian Natesh S. Pillai 36 9 0 23 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 45 13 0 08 May 2023
On the Concentration of the Minimizers of Empirical Risks Paul Escande 31 2 0 03 Apr 2023
Robust Estimation under the Wasserstein Distance Sloan Nietert Rachel Cummings Ziv Goldfeld 36 4 0 02 Feb 2023
A Finite-Particle Convergence Rate for Stein Variational Gradient Descent Jiaxin Shi Lester W. Mackey 28 18 0 17 Nov 2022
The out-of-sample prediction error of the square-root-LASSO and related estimators J. M. Olea Cynthia Rush Amilcar Velez J. Wiesel OOD 43 6 0 14 Nov 2022
$Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$$ Convergence of the empirical measure in expected Wasserstein distance: non asymptotic explicit bounds in $\mathbb{R}^d$ N. Fournier 11 16 0 02 Sep 2022
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression Q. Zhang Bing Li Lingzhou Xue 38 12 0 11 Jul 2022
Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances Ruben Ohana Kimia Nadjahi A. Rakotomamonjy L. Ralaivola 13 6 0 07 Jun 2022
Central limit theorem for the Sliced 1-Wasserstein distance and the max-Sliced 1-Wasserstein distance Xianliang Xu Zhongyi Huang 19 4 0 29 May 2022
Strong posterior contraction rates via Wasserstein dynamics Emanuele Dolera Stefano Favaro E. Mainini 17 2 0 21 Mar 2022
Limit distribution theory for smooth $p$ -Wasserstein distances Ziv Goldfeld Kengo Kato Sloan Nietert Gabriel Rioux 16 15 0 01 Mar 2022
Entropy Regularized Optimal Transport Independence Criterion Lang Liu Soumik Pal Zaïd Harchaoui OT 15 13 0 31 Dec 2021
Bounding Wasserstein distance with couplings N. Biswas Lester W. Mackey 30 8 0 06 Dec 2021
Online Estimation and Optimization of Utility-Based Shortfall Risk Vishwajit Hegde Arvind S. Menon L. A. Prashanth Krishna Jagannathan 24 2 0 16 Nov 2021
Statistical Regeneration Guarantees of the Wasserstein Autoencoder with Latent Space Consistency A. Chakrabarty Swagatam Das DRL 22 6 0 08 Oct 2021
Dimension Reduction for Fréchet Regression Q. Zhang Lingzhou Xue Bing Li 29 12 0 01 Oct 2021
Wasserstein Generative Adversarial Uncertainty Quantification in Physics-Informed Neural Networks Yihang Gao Michael K. Ng 38 28 0 30 Aug 2021
Limit Distribution Theory for the Smooth 1-Wasserstein Distance with Applications Ritwik Sadhu Ziv Goldfeld Kengo Kato 21 8 0 28 Jul 2021
Plugin Estimation of Smooth Optimal Transport Maps Tudor Manole Sivaraman Balakrishnan Jonathan Niles-Weed Larry A. Wasserman OT 28 92 0 26 Jul 2021
Sharp Convergence Rates for Empirical Optimal Transport with Smooth Costs Tudor Manole Jonathan Niles-Weed OT 62 38 0 24 Jun 2021
Costs and Benefits of Fair Regression Han Zhao FaML 16 8 0 16 Jun 2021
Estimation and Quantization of Expected Persistence Diagrams Vincent Divol Théo Lacombe 8 9 0 11 May 2021
Transport Dependency: Optimal Transport Based Dependency Measures T. Nies Thomas Staudt Axel Munk OT 27 20 0 05 May 2021
Measuring dependence between random vectors via optimal transport Gilles Mordant Johan Segers OT 11 24 0 28 Apr 2021
Convergence of Gaussian-smoothed optimal transport distance with sub-gamma distributions and dependent samples Yixing Zhang Xiuyuan Cheng Galen Reeves OT 21 10 0 28 Feb 2021
Measure estimation on manifolds: an optimal transport approach Vincent Divol OT 11 21 0 15 Feb 2021
Two-sample Test with Kernel Projected Wasserstein Distance Jie Wang Rui Gao Yao Xie 24 19 0 12 Feb 2021
Functional optimal transport: map estimation and domain adaptation for functional data Jiacheng Zhu Aritra Guha Dat Do Mengdi Xu X. Nguyen Ding Zhao OT 37 7 0 07 Feb 2021
On the capacity of deep generative networks for approximating distributions Yunfei Yang Zhen Li Yang Wang 17 28 0 29 Jan 2021
Convergence Rates for Empirical Measures of Markov Chains in Dual and Wasserstein Distances Adrian Riekert 16 4 0 18 Jan 2021
Smooth $p$ -Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications Sloan Nietert Ziv Goldfeld Kengo Kato 39 30 0 11 Jan 2021
Continuity of Generalized Entropy and Statistical Learning Aolin Xu 17 6 0 31 Dec 2020
Entropy-regularized optimal transport on multivariate normal and q-normal distributions Qijun Tong Kei Kobayashi OT 21 7 0 19 Dec 2020
Nonparametric Two-Sample Hypothesis Testing for Random Graphs with Negative and Repeated Eigenvalues Joshua Agterberg M. Tang Carey Priebe 21 15 0 17 Dec 2020
Randomised Wasserstein Barycenter Computation: Resampling with Statistical Guarantees F. Heinemann Axel Munk Y. Zemel 11 17 0 11 Dec 2020
A Riemannian Block Coordinate Descent Method for Computing the Projection Robust Wasserstein Distance Minhui Huang Shiqian Ma Lifeng Lai 23 42 0 09 Dec 2020