Causal Optimal Coupling for Gaussian Input-Output Distributional Data
Fuente:
arXiv
Guardado en:
| Autores principales: | Xu, Daran, Taghvaei, Amirhossein |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
por: Teter, Alexis M. H., et al.
Publicado: (2025)
por: Teter, Alexis M. H., et al.
Publicado: (2025)
Time-Reversal of Stochastic Maximum Principle
por: Taghvaei, Amirhossein
Publicado: (2024)
por: Taghvaei, Amirhossein
Publicado: (2024)
Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps
por: Al-Jarrah, Mohammad, et al.
Publicado: (2025)
por: Al-Jarrah, Mohammad, et al.
Publicado: (2025)
Schrödinger Bridge Over A Compact Connected Lie Group
por: Mahmood, Hamza, et al.
Publicado: (2026)
por: Mahmood, Hamza, et al.
Publicado: (2026)
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
por: Srikant, R.
Publicado: (2024)
por: Srikant, R.
Publicado: (2024)
How to implement the Bayes' formula in the age of ML?
por: Taghvaei, Amirhossein, et al.
Publicado: (2024)
por: Taghvaei, Amirhossein, et al.
Publicado: (2024)
Nonlinear Filtering with Brenier Optimal Transport Maps
por: Al-Jarrah, Mohammad, et al.
Publicado: (2023)
por: Al-Jarrah, Mohammad, et al.
Publicado: (2023)
Set Invariance with Probability One for Controlled Diffusion: Score-based Approach
por: Wang, Wenqing, et al.
Publicado: (2025)
por: Wang, Wenqing, et al.
Publicado: (2025)
Error Analysis of Sampling Algorithms for Approximating Stochastic Optimal Control
por: Joshi, Anant A., et al.
Publicado: (2025)
por: Joshi, Anant A., et al.
Publicado: (2025)
Predictor-Based Output-Feedback Control of Linear Systems with Time-Varying Input and Measurement Delays via Neural-Approximated Prediction Horizons
por: Bhan, Luke, et al.
Publicado: (2026)
por: Bhan, Luke, et al.
Publicado: (2026)
Data-driven Multistage Distributionally Robust Linear Optimization with Nested Distance
por: Gao, Rui, et al.
Publicado: (2024)
por: Gao, Rui, et al.
Publicado: (2024)
Pathwise Relaxed Optimal Control of Rough Differential Equations
por: Chakraborty, Prakash, et al.
Publicado: (2024)
por: Chakraborty, Prakash, et al.
Publicado: (2024)
Evaluating the design space of diffusion-based generative models
por: Wang, Yuqing, et al.
Publicado: (2024)
por: Wang, Yuqing, et al.
Publicado: (2024)
Dynamical Measure Transport and Neural PDE Solvers for Sampling
por: Sun, Jingtong, et al.
Publicado: (2024)
por: Sun, Jingtong, et al.
Publicado: (2024)
Model Predictive Control is Almost Optimal for Restless Bandit
por: Gast, Nicolas, et al.
Publicado: (2024)
por: Gast, Nicolas, et al.
Publicado: (2024)
Prelimit Coupling and Steady-State Convergence of Constant-stepsize Nonsmooth Contractive SA
por: Zhang, Yixuan, et al.
Publicado: (2024)
por: Zhang, Yixuan, et al.
Publicado: (2024)
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
Wasserstein Formulation of Reinforcement Learning. An Optimal Transport Perspective on Policy Optimization
por: Dus, Mathias
Publicado: (2026)
por: Dus, Mathias
Publicado: (2026)
A Distributional View of High Dimensional Optimization
por: Benning, Felix
Publicado: (2025)
por: Benning, Felix
Publicado: (2025)
Model Predictive Control is almost Optimal for Heterogeneous Restless Multi-armed Bandits
por: Narasimha, Dheeraj, et al.
Publicado: (2025)
por: Narasimha, Dheeraj, et al.
Publicado: (2025)
Distributionally Robust Regret Optimal Control Under Moment-Based Ambiguity Sets
por: Taha, Feras Al, et al.
Publicado: (2025)
por: Taha, Feras Al, et al.
Publicado: (2025)
Conditional Optimal Transport on Function Spaces
por: Hosseini, Bamdad, et al.
Publicado: (2023)
por: Hosseini, Bamdad, et al.
Publicado: (2023)
Online Learning of Kalman Filtering: From Output to State Estimation
por: Ye, Lintao, et al.
Publicado: (2026)
por: Ye, Lintao, et al.
Publicado: (2026)
Explicit Steady-State Approximations for Parallel Server Systems with Heterogeneous Servers
por: Xu, Yaosheng
Publicado: (2024)
por: Xu, Yaosheng
Publicado: (2024)
Model-Free Output Feedback Stabilization via Policy Gradient Methods
por: Zhang, Ankang, et al.
Publicado: (2026)
por: Zhang, Ankang, et al.
Publicado: (2026)
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
por: Hu, Jie, et al.
Publicado: (2024)
por: Hu, Jie, et al.
Publicado: (2024)
Online Learning and Optimization for Queues with Unknown Demand Curve and Service Distribution
por: Chen, Xinyun, et al.
Publicado: (2023)
por: Chen, Xinyun, et al.
Publicado: (2023)
Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems
por: Shin, Sungho, et al.
Publicado: (2022)
por: Shin, Sungho, et al.
Publicado: (2022)
Data-Driven Stochastic Optimal Control in Reproducing Kernel Hilbert Spaces
por: Hoischen, Nicolas, et al.
Publicado: (2024)
por: Hoischen, Nicolas, et al.
Publicado: (2024)
Error Analysis of Triangular Optimal Transport Maps for Filtering
por: Al-Jarrah, Mohammad, et al.
Publicado: (2025)
por: Al-Jarrah, Mohammad, et al.
Publicado: (2025)
Data-Driven Density Steering via the Gromov-Wasserstein Optimal Transport Distance
por: Nakashima, Haruto, et al.
Publicado: (2025)
por: Nakashima, Haruto, et al.
Publicado: (2025)
Sampling-Horizon Neural Operator Predictors for Nonlinear Control under Delayed Inputs
por: Bhan, Luke, et al.
Publicado: (2026)
por: Bhan, Luke, et al.
Publicado: (2026)
Fast and Reliable $N-k$ Contingency Screening with Input-Convex Neural Networks
por: Christianson, Nicolas, et al.
Publicado: (2024)
por: Christianson, Nicolas, et al.
Publicado: (2024)
Data-driven Reachable Set Estimation with Tunable Adversarial and Wasserstein Distributional Guarantees
por: Pantazis, Georgios, et al.
Publicado: (2026)
por: Pantazis, Georgios, et al.
Publicado: (2026)
Conditional Sampling via Wasserstein Autoencoders and Triangular Transport
por: Al-Jarrah, Mohammad, et al.
Publicado: (2026)
por: Al-Jarrah, Mohammad, et al.
Publicado: (2026)
Wasserstein Distributionally Robust Nash Equilibrium Seeking with Heterogeneous Data: A Lagrangian Approach
por: Wang, Zifan, et al.
Publicado: (2025)
por: Wang, Zifan, et al.
Publicado: (2025)
Dynamic Output-Feedback Controller Synthesis for Dissipativity and $H_2$ Performance from Noisy Input-Output Data
por: Kristović, Pietro, et al.
Publicado: (2026)
por: Kristović, Pietro, et al.
Publicado: (2026)
Distributional Robustness in Output Feedback Regret-Optimal Control
por: Yan, Shuhao, et al.
Publicado: (2025)
por: Yan, Shuhao, et al.
Publicado: (2025)
Sliced Wasserstein Steering between Gaussian Measures
por: Ito, Kaito, et al.
Publicado: (2026)
por: Ito, Kaito, et al.
Publicado: (2026)
Data-Driven Approximation of Stationary Nonlinear Filters with Optimal Transport Maps
por: Al-Jarrah, Mohammad, et al.
Publicado: (2024)
por: Al-Jarrah, Mohammad, et al.
Publicado: (2024)
Ejemplares similares
-
Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
por: Teter, Alexis M. H., et al.
Publicado: (2025) -
Time-Reversal of Stochastic Maximum Principle
por: Taghvaei, Amirhossein
Publicado: (2024) -
Fast filtering of non-Gaussian models using Amortized Optimal Transport Maps
por: Al-Jarrah, Mohammad, et al.
Publicado: (2025) -
Schrödinger Bridge Over A Compact Connected Lie Group
por: Mahmood, Hamza, et al.
Publicado: (2026) -
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
por: Srikant, R.
Publicado: (2024)