Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances

17 October 2022

Ritwik Sadhu

Papers citing "Statistical, Robustness, and Computational Guarantees for Sliced Wasserstein Distances"

28 / 28 papers shown

Title
Streaming Sliced Optimal Transport Khai Nguyen OT 43 0 0 11 May 2025
Bayesian Density-Density Regression with Application to Cell-Cell Communications Khai Nguyen Yang Ni Peter Mueller 18 0 0 17 Apr 2025
Overlap-Aware Feature Learning for Robust Unsupervised Domain Adaptation for 3D Semantic Segmentation Junjie Chen Yuecong Xu H. Li Kemi Ding 3DPC 40 0 0 02 Apr 2025
Properties of Wasserstein Gradient Flows for the Sliced-Wasserstein Distance Christophe Vauthier Quentin Mérigot Anna Korba 37 0 0 10 Feb 2025
Unbiased Sliced Wasserstein Kernels for High-Quality Audio Captioning Manh Luong Khai Nguyen Dinh Q. Phung Gholamreza Haffari Lizhen Qu 47 0 0 08 Feb 2025
Provably Efficient Exploration in Reward Machines with Low Regret Hippolyte Bourel Anders Jonsson Odalric-Ambrym Maillard Chenxiao Ma M. S. Talebi 24 0 0 26 Dec 2024
Time-Causal VAE: Robust Financial Time Series Generator Beatrice Acciaio Stephan Eckstein Songyan Hou AI4TS 30 2 0 05 Nov 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions Sloan Nietert Ziv Goldfeld Soroosh Shafiee OOD 26 0 0 10 Jun 2024
Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances Jie Wang M. Boedihardjo Yao Xie 46 1 0 24 May 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
Hierarchical Hybrid Sliced Wasserstein: A Scalable Metric for Heterogeneous Joint Distributions Khai Nguyen Nhat Ho 32 2 0 23 Apr 2024
Sharp bounds for max-sliced Wasserstein distances M. Boedihardjo 26 7 0 01 Mar 2024
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams Rolando Kindelan Nunez Mircea Petrache Mauricio Cerda N. Hitschfeld-Kahler 19 1 0 22 Feb 2024
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks Yankai Chen Yixiang Fang Qiongyan Wang Xin Cao Irwin King 28 8 0 19 Feb 2024
Gaussian process regression with Sliced Wasserstein Weisfeiler-Lehman graph kernels Raphael Carpintero Perez Sébastien da Veiga Josselin Garnier B. Staber 23 4 0 06 Feb 2024
Sliced-Wasserstein Estimation with Spherical Harmonics as Control Variates Rémi Leluc Aymeric Dieuleveut Franccois Portier Johan Segers Aigerim Zhuman 13 5 0 02 Feb 2024
Sliced Wasserstein with Random-Path Projecting Directions Khai Nguyen Shujian Zhang Tam Le Nhat Ho 32 9 0 29 Jan 2024
Max-Sliced Mutual Information Dor Tsur Ziv Goldfeld Kristjan Greenewald 32 9 0 28 Sep 2023
Convergence of SGD for Training Neural Networks with Sliced Wasserstein Losses Eloi Tanguy 26 6 0 21 Jul 2023
Probabilistic Constrained Reinforcement Learning with Formal Interpretability Yanran Wang Qiuchen Qian David E. Boyle 16 4 0 13 Jul 2023
Energy-Based Sliced Wasserstein Distance Khai Nguyen Nhat Ho 20 21 0 26 Apr 2023
Robust Estimation under the Wasserstein Distance Sloan Nietert Rachel Cummings Ziv Goldfeld 28 4 0 02 Feb 2023
Self-Attention Amortized Distributional Projection Optimization for Sliced Wasserstein Point-Cloud Reconstruction Khai Nguyen Dang Nguyen N. Ho 13 9 0 12 Jan 2023
Markovian Sliced Wasserstein Distances: Beyond Independent Projections Khai Nguyen Tongzheng Ren Nhat Ho 16 7 0 10 Jan 2023
The out-of-sample prediction error of the square-root-LASSO and related estimators J. M. Olea Cynthia Rush Amilcar Velez J. Wiesel OOD 32 6 0 14 Nov 2022
Hierarchical Sliced Wasserstein Distance Khai Nguyen Tongzheng Ren Huy Nguyen Litu Rout T. Nguyen Nhat Ho 24 19 0 27 Sep 2022
Structure preservation via the Wasserstein distance Daniel Bartl S. Mendelson 38 12 0 15 Sep 2022
Nonlinear Sufficient Dimension Reduction for Distribution-on-Distribution Regression Q. Zhang Bing Li Lingzhou Xue 30 10 0 11 Jul 2022