Saved in:
| Main Authors: | Nguyen, Dai Hai, Sakurai, Tetsuya |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2307.16358 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
by: Nguyen, Dai Hai, et al.
Published: (2023)
by: Nguyen, Dai Hai, et al.
Published: (2023)
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
by: Nguyen, Dai Hai, et al.
Published: (2025)
by: Nguyen, Dai Hai, et al.
Published: (2025)
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
by: Nguyen, Dai Hai, et al.
Published: (2026)
by: Nguyen, Dai Hai, et al.
Published: (2026)
Sliced-Regularized Optimal Transport
by: Nguyen, Khai
Published: (2026)
by: Nguyen, Khai
Published: (2026)
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)
by: Nguyen, Bao, et al.
Published: (2024)
Statistical Guarantees for Distributionally Robust Optimization with Optimal Transport and OT-Regularized Divergences
by: Birrell, Jeremiah, et al.
Published: (2026)
by: Birrell, Jeremiah, et al.
Published: (2026)
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration
by: Imakura, Akira, et al.
Published: (2024)
by: Imakura, Akira, et al.
Published: (2024)
A Note on Asynchronous Challenges: Unveiling Formulaic Bias and Data Loss in the Hayashi-Yoshida Estimator
by: Georgiadis, Evangelos
Published: (2024)
by: Georgiadis, Evangelos
Published: (2024)
Variational Transport: A Convergent Particle-BasedAlgorithm for Distributional Optimization
by: Yang, Zhuoran, et al.
Published: (2020)
by: Yang, Zhuoran, et al.
Published: (2020)
Sparse Partial Optimal Transport via Quadratic Regularization
by: Tran, Khang, et al.
Published: (2025)
by: Tran, Khang, et al.
Published: (2025)
Variational Quantum Eigensolver with Constraints (VQEC): Solving Constrained Optimization Problems via VQE
by: Le, Thinh Viet, et al.
Published: (2023)
by: Le, Thinh Viet, et al.
Published: (2023)
Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-loop and Hessian-free Solution Strategy
by: Liu, Risheng, et al.
Published: (2024)
by: Liu, Risheng, 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)
Nash Equilibria, Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization
by: Shafiee, Soroosh, et al.
Published: (2023)
by: Shafiee, Soroosh, et al.
Published: (2023)
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch
by: Jiang, Caigao, et al.
Published: (2024)
by: Jiang, Caigao, et al.
Published: (2024)
Regularized Schrödinger Bridge: Alleviating Distortion and Exposure Bias in Solving Inverse Problems
by: Yao, Qing, et al.
Published: (2025)
by: Yao, Qing, et al.
Published: (2025)
Learning To Solve Differential Equation Constrained Optimization Problems
by: Di Vito, Vincenzo, et al.
Published: (2024)
by: Di Vito, Vincenzo, et al.
Published: (2024)
Learning Generalization and Regularization of Nonhomogeneous Temporal Poisson Processes
by: Van, Son Nguyen, et al.
Published: (2024)
by: Van, Son Nguyen, et al.
Published: (2024)
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
by: Chavdarova, Tatjana, et al.
Published: (2022)
by: Chavdarova, Tatjana, et al.
Published: (2022)
Personalized Federated Learning via ADMM with Moreau Envelope
by: Zhu, Shengkun, et al.
Published: (2023)
by: Zhu, Shengkun, et al.
Published: (2023)
Variational Regularized Unbalanced Optimal Transport: Single Network, Least Action
by: Sun, Yuhao, et al.
Published: (2025)
by: Sun, Yuhao, et al.
Published: (2025)
LSEC: Large-scale spectral ensemble clustering
by: Li, Hongmin, et al.
Published: (2021)
by: Li, Hongmin, et al.
Published: (2021)
Solving Functional Optimization with Deep Networks and Variational Principles
by: Kamtue, Kawisorn, et al.
Published: (2024)
by: Kamtue, Kawisorn, et al.
Published: (2024)
Variational Optimization for Quantum Problems using Deep Generative Networks
by: Zhang, Lingxia, et al.
Published: (2024)
by: Zhang, Lingxia, et al.
Published: (2024)
Solving Prior Distribution Mismatch in Diffusion Models via Optimal Transport
by: Wang, Zhanpeng, et al.
Published: (2024)
by: Wang, Zhanpeng, et al.
Published: (2024)
A Model-Constrained Discontinuous Galerkin Network (DGNet) for Compressible Euler Equations with Out-of-Distribution Generalization
by: Nguyen, Hai V., et al.
Published: (2024)
by: Nguyen, Hai V., et al.
Published: (2024)
Solving Imaging Inverse Problems Using Plug-and-Play Denoisers: Regularization and Optimization Perspectives
by: Tan, Hong Ye, et al.
Published: (2025)
by: Tan, Hong Ye, et al.
Published: (2025)
Solving Boltzmann Optimization Problems with Deep Learning
by: Knoll, Fiona, et al.
Published: (2024)
by: Knoll, Fiona, et al.
Published: (2024)
Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
by: Nguyen, Khai, et al.
Published: (2025)
by: Nguyen, Khai, et al.
Published: (2025)
Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization
by: Yang, Yufeng, et al.
Published: (2025)
by: Yang, Yufeng, et al.
Published: (2025)
Unified Graph Networks (UGN): A Deep Neural Framework for Solving Graph Problems
by: Dawn, Rudrajit, et al.
Published: (2025)
by: Dawn, Rudrajit, et al.
Published: (2025)
MoreauPruner: Robust Pruning of Large Language Models against Weight Perturbations
by: Wang, Zixiao, et al.
Published: (2024)
by: Wang, Zixiao, et al.
Published: (2024)
Learning to Solve Optimization Problems Constrained with Partial Differential Equations
by: Guven, Yusuf, et al.
Published: (2025)
by: Guven, Yusuf, et al.
Published: (2025)
Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
by: Hoffmann, Matthias K., et al.
Published: (2025)
by: Hoffmann, Matthias K., et al.
Published: (2025)
Inexact Moreau Envelope Lagrangian Method for Non-Convex Constrained Optimization under Local Error Bound Conditions on Constraint Functions
by: Huang, Yankun, et al.
Published: (2025)
by: Huang, Yankun, et al.
Published: (2025)
A Framework for Controllable Multi-objective Learning with Annealed Stein Variational Hypernetworks
by: Nguyen, Minh-Duc, et al.
Published: (2025)
by: Nguyen, Minh-Duc, et al.
Published: (2025)
Generalization in LLM Problem Solving: The Case of the Shortest Path
by: Tong, Yao, et al.
Published: (2026)
by: Tong, Yao, et al.
Published: (2026)
A Stability Benchmark of Generative Regularizers for Inverse Problems
by: Denker, Alexander, et al.
Published: (2026)
by: Denker, Alexander, et al.
Published: (2026)
From Small to Large: A Graph Convolutional Network Approach for Solving Assortment Optimization Problems
by: Li, Guokai, et al.
Published: (2025)
by: Li, Guokai, et al.
Published: (2025)
Preference Optimization for Combinatorial Optimization Problems
by: Pan, Mingjun, et al.
Published: (2025)
by: Pan, Mingjun, et al.
Published: (2025)
Similar Items
-
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference
by: Nguyen, Dai Hai, et al.
Published: (2023) -
Multiple Wasserstein Gradient Descent Algorithm for Multi-Objective Distributional Optimization
by: Nguyen, Dai Hai, et al.
Published: (2025) -
Accelerated Multiple Wasserstein Gradient Flows for Multi-objective Distributional Optimization
by: Nguyen, Dai Hai, et al.
Published: (2026) -
Sliced-Regularized Optimal Transport
by: Nguyen, Khai
Published: (2026) -
Generative Conditional Distributions by Neural (Entropic) Optimal Transport
by: Nguyen, Bao, et al.
Published: (2024)