Stochastic Optimization for Large-scale Optimal Transport

27 May 2016

Papers citing "Stochastic Optimization for Large-scale Optimal Transport"

50 / 102 papers shown

Title
Soft-Masked Semi-Dual Optimal Transport for Partial Domain Adaptation Yi-Ming Zhai Chuan-Xian Ren Hong Yan 54 0 0 03 May 2025
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems Xiaohua Feng Yuyuan Li Fengyuan Yu Ke Xiong Junjie Fang Lihe Zhang Tianyu Du Chaochao Chen AAML 42 0 0 15 Apr 2025
Nested Stochastic Gradient Descent for (Generalized) Sinkhorn Distance-Regularized Distributionally Robust Optimization Yue Yang Yi Zhou Zhaosong Lu 49 0 0 29 Mar 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model Cheng Yang Yang Sui Jinqi Xiao Lingyi Huang Yu Gong ... Jinghua Yan Y. Bai P. Sadayappan Xia Hu Bo Yuan VLM 64 0 0 24 Mar 2025
Linear Partial Gromov-Wasserstein Embedding Yikun Bai Abihith Kothapalli Hengrong Du Rocio Diaz Martin Soheil Kolouri 37 0 0 22 Oct 2024
ScoreFusion: Fusing Score-based Generative Models via Kullback-Leibler Barycenters Hao Liu Junze Tony Ye Ye Jose H. Blanchet DiffM FedML 40 1 0 28 Jun 2024
Generative Conditional Distributions by Neural (Entropic) Optimal Transport Bao Nguyen Binh Nguyen Hieu Trung Nguyen Viet Anh Nguyen OT 55 1 0 04 Jun 2024
SAVA: Scalable Learning-Agnostic Data Valuation Samuel Kessler Tam Le Vu Nguyen TDI 71 0 0 03 Jun 2024
Uncertainty-guided Optimal Transport in Depth Supervised Sparse-View 3D Gaussian Wei Sun Qi Zhang Yanzhao Zhou QiXiang Ye Jianbin Jiao Yuan Li 3DGS UQCV 50 3 0 30 May 2024
A Full Adagrad algorithm with O(Nd) operations Antoine Godichon-Baggioni Wei Lu Bruno Portier ODL 62 0 0 03 May 2024
Spectral Clustering for Discrete Distributions Zixiao Wang Dong Qiao Jicong Fan 24 0 0 25 Jan 2024
Accelerating Sinkhorn Algorithm with Sparse Newton Iterations Xun Tang Michael Shavlovsky Holakou Rahmanian Elisa Tardini K. K. Thekumparampil Tesi Xiao Lexing Ying OT 41 4 0 20 Jan 2024
Learning from small data sets: Patch-based regularizers in inverse problems for image reconstruction Moritz Piening Fabian Altekrüger J. Hertrich Paul Hagemann Andrea Walther Gabriele Steidl 37 6 0 27 Dec 2023
Hilbert's projective metric for functions of bounded growth and exponential convergence of Sinkhorn's algorithm Stephan Eckstein 39 7 0 07 Nov 2023
Light Schrödinger Bridge Alexander Korotin Nikita Gushchin Evgeny Burnaev OT 46 4 0 02 Oct 2023
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov Petr Mokrov Igor Udovichenko Milena Gazdieva G. Pammer Anastasis Kratsios Evgeny Burnaev Alexander Korotin OT 54 2 0 02 Oct 2023
Partial Transport for Point-Cloud Registration Yikun Bai Huy Tran S. Damelin Soheil Kolouri 3DPC OT 45 1 0 27 Sep 2023
Monge-Kantorovich superquantiles and expected shortfalls with applications to multivariate risk measurements Bernard Bercu Jérémie Bigot Gauthier Thurin 42 0 0 04 Jul 2023
Fitted Value Iteration Methods for Bicausal Optimal Transport Erhan Bayraktar Bingyan Han OT 37 6 0 22 Jun 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin Alexander Kolesov Petr Mokrov Polina Karpikova A. Spiridonov Evgeny Burnaev Alexander Korotin OT DiffM 62 15 0 16 Jun 2023
Coupled Variational Autoencoder Xiaoran Hao Patrick Shafto BDL DRL 37 4 0 05 Jun 2023
Feature-aligned N-BEATS with Sinkhorn divergence Joon-Young Lee Myeongho Jeon Myung-joo Kang Kyung-soon Park AI4TS 35 0 0 24 May 2023
Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem Xavier Aramayo Carrasco Maksim Nekrashevich Petr Mokrov Evgeny Burnaev Alexander Korotin OT 45 5 0 10 Mar 2023
How to Trust Your Diffusion Model: A Convex Optimization Approach to Conformal Risk Control Jacopo Teneggi Matthew Tivnan J. W. Stayman Jeremias Sulam DiffM 37 28 0 07 Feb 2023
Stochastic optimal transport in Banach Spaces for regularized estimation of multivariate quantiles Bernard Bercu Jérémie Bigot Gauthier Thurin 39 2 0 02 Feb 2023
Fast Computation of Optimal Transport via Entropy-Regularized Extragradient Methods Gen Li Yanxi Chen Yu Huang Yuejie Chi H. Vincent Poor Yuxin Chen OT 48 5 0 30 Jan 2023
Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva Alexander Korotin Daniil Selikhanovych Evgeny Burnaev OT 40 11 0 30 Jan 2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport Yiling Luo Yiling Xie X. Huo 24 8 0 23 Jan 2023
Sliced Optimal Partial Transport Yikun Bai Bernhard Schmitzer Matthew Thorpe Soheil Kolouri OT 29 20 0 15 Dec 2022
Continual Learning with Optimal Transport based Mixture Model Quyen Tran Hoang Phan Khoat Than Dinh Q. Phung Trung Le CLL 21 1 0 30 Nov 2022
Learning Ultrametric Trees for Optimal Transport Regression Samantha Chen Puoya Tabaghi Yusu Wang OT 37 2 0 21 Oct 2022
Calibration tests beyond classification David Widmann Fredrik Lindsten Dave Zachariah 32 17 0 21 Oct 2022
Optimal Efficiency-Envy Trade-Off via Optimal Transport Steven Yin Christian Kroer OT 13 2 0 25 Sep 2022
Approximating 1-Wasserstein Distance with Trees M. Yamada Yuki Takezawa Ryoma Sato Hang Bao Zornitsa Kozareva Sujith Ravi 59 8 0 24 Jun 2022
Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise Xiuyuan Cheng Boris Landa 38 3 0 22 Jun 2022
Hilbert Curve Projection Distance for Distribution Comparison Tao Li Cheng Meng Hongteng Xu Jun Yu 46 13 0 30 May 2022
Fast Nonlinear Vector Quantile Regression Aviv A. Rosenberg S. Vedula Yaniv Romano A. Bronstein 30 7 0 30 May 2022
Stability and upper bounds for statistical estimation of unbalanced transport potentials A. Vacher Franccois-Xavier Vialard OT 33 4 0 17 Mar 2022
An Accelerated Stochastic Algorithm for Solving the Optimal Transport Problem Yiling Xie Yiling Luo X. Huo 29 10 0 02 Mar 2022
Global-Local Regularization Via Distributional Robustness Hoang Phan Trung Le Trung-Nghia Phung Tu Bui Nhat Ho Dinh Q. Phung OOD 26 12 0 01 Mar 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 40 7 0 06 Feb 2022
Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin Vage Egiazarian Lingxiao Li Evgeny Burnaev 41 24 0 28 Jan 2022
Entropic Optimal Transport in Random Graphs Nicolas Keriven OT 25 4 0 11 Jan 2022
Differentiable and Scalable Generative Adversarial Models for Data Imputation Yangyang Wu Jun Wang Xiaoye Miao Wei Cao Jianwei Yin SyDa 55 14 0 10 Jan 2022
A Stochastic Bregman Primal-Dual Splitting Algorithm for Composite Optimization Antonio Silveti-Falls C. Molinari Jalal Fadili 39 8 0 22 Dec 2021
Near-optimal estimation of smooth transport maps with kernel sums-of-squares Boris Muzellec A. Vacher Francis R. Bach Franccois-Xavier Vialard Alessandro Rudi OT 32 20 0 03 Dec 2021
Music-to-Dance Generation with Optimal Transport Shuang Wu Shijian Lu Li Cheng OT 29 3 0 03 Dec 2021
Wasserstein Patch Prior for Image Superresolution J. Hertrich Antoine Houdard C. Redenbach SupR MDE 36 22 0 27 Sep 2021
Sinkhorn Distributionally Robust Optimization Jie Wang Rui Gao Yao Xie 46 35 0 24 Sep 2021
Large-scale optimal transport map estimation using projection pursuit Cheng Meng Y. Ke Jingyi Zhang Mengrui Zhang Wenxuan Zhong Ping Ma OT 24 38 0 09 Jun 2021