Imagen de Portada

Quantization Of Probability Measures In Maximum~Mean~Discrepancy Distance

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Mehraban, Zahra, Pichler, Alois
Formato:	Preprint
Publicado:	2025
Materias:	Optimization and Control
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Unbalanced Optimal Transport and Maximum Mean Discrepancies: Interconnections and Rapid Evaluation
por: Lakshmanan, Rajmadan, et al.
Publicado: (2023)

Neural Wasserstein Gradient Flows for Maximum Mean Discrepancies with Riesz Kernels
por: Altekrüger, Fabian, et al.
Publicado: (2023)

Higher order measures of risk and stochastic dominance
por: Pichler, Alois
Publicado: (2024)

StochasticDominance.jl: A Julia Package for Higher Order Stochastic Dominance
por: Lakshmanan, Rajmadan, et al.
Publicado: (2025)

Wasserstein Gradient Flows of the Discrepancy with Distance Kernel on the Line
por: Hertrich, Johannes, et al.
Publicado: (2023)

On Finding the Community with Maximum Persistence Probability
por: Avellone, Alessandro, et al.
Publicado: (2022)

Kill-Probability-Maximization Guidance: Breaking from the Miss-Distance-Minimization Paradigm
por: Mudrik, Liraz, et al.
Publicado: (2026)

Higher-Order Stochastic Dominance Constraints in Optimization
por: Lakshmanan, Rajmadan, et al.
Publicado: (2025)

Models Parametric Analysis via Adaptive Kernel Learning
por: Norkin, Vladimir, et al.
Publicado: (2025)

Peng's Maximum Principle for Stochastic Delay Differential Equations of Mean-Field Type
por: Guatteri, Giuseppina, et al.
Publicado: (2025)

A Global Stochastic Maximum Principle for Mean-Field Forward-Backward Stochastic Control Systems with Quadratic Generators
por: Buckdahn, Rainer, et al.
Publicado: (2024)

On Efficient Approximation of the Maximum Distance to A Point Over an Intersection of Balls
por: Costandin, Beniamin, et al.
Publicado: (2024)

Occupation-Measure Mean-Field Control: Optimization over Measures and Frank-Wolfe Methods
por: Yu, Di, et al.
Publicado: (2026)

Direct System Identification of Dynamical Networks with Partial Measurements: a Maximum Likelihood Approach
por: da Mata, João Victor Galvão, et al.
Publicado: (2023)

Network Consensus in the Wasserstein Space of Probability Measures Defined on Multi-Dimensional Euclidean Spaces
por: Jung, Pilgyu, et al.
Publicado: (2025)

Stochastic Reachability of Uncontrolled Systems via Probability Measures: Approximation via Deep Neural Networks
por: Sivaramakrishnan, Karthik, et al.
Publicado: (2023)

Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
por: Anahtarci, Berkay, et al.
Publicado: (2024)

Tight Bounds for the Maximum Distance Over a Polytope to a Given Point
por: Costandin, Marius, et al.
Publicado: (2023)

Enhancing Exploration in Global Optimization by Noise Injection in the Probability Measures Space
por: Serré, Gaëtan, et al.
Publicado: (2026)

Random Coordinate Descent on the Wasserstein Space of Probability Measures
por: Xu, Yewei, et al.
Publicado: (2026)

Maximum Principle of Optimal Probability Density Control
por: Gaby, Nathan, et al.
Publicado: (2025)

Mean-Covariance Robust Risk Measurement
por: Nguyen, Viet Anh, et al.
Publicado: (2021)

Latent-Space Mean-Field Theory for Deep BitNet-like Training: Constrained Gradient Flows with Smooth Quantization and STE Limits
por: Kim, Dongwon, et al.
Publicado: (2025)

Optimization with Temporal and Logical Specifications via Generalized Mean-based Smooth Robustness Measures
por: Uzun, Samet, et al.
Publicado: (2024)

An Open Source Stochastic Unit Commitment Tool using the PyPSA-Framework
por: Welfonder, Tom, et al.
Publicado: (2024)

Integrality Gaps for Random Integer Programs via Discrepancy
por: Borst, Sander, et al.
Publicado: (2022)

Least-Squares Problem Over Probability Measure Space
por: Li, Qin, et al.
Publicado: (2025)

Computing Approximate Nash Equilibria for Integer Programming Games
por: Duguet, Aloïs, et al.
Publicado: (2024)

Time-Reversal of Stochastic Maximum Principle
por: Taghvaei, Amirhossein
Publicado: (2024)

Computing Rare Probabilities of Voltage Collapse
por: Jin, Tongtong, et al.
Publicado: (2026)

Stochastic Shortest Path Problem with Failure Probability
por: Otsubo, Ritsusamuel
Publicado: (2024)

Dynamic Programming in Probability Spaces via Optimal Transport
por: Terpin, Antonio, et al.
Publicado: (2023)

On Solving the Maximum Flow Problem with Conflict Constraints
por: Montemanni, Roberto, et al.
Publicado: (2025)

Distance characteristics for incremental quantities
por: Taylor, Josh A., et al.
Publicado: (2026)

The Maximum Singularity Degree for Linear and Semidefinite Programming
por: Hu, Hao
Publicado: (2024)

System Availability Optimization: Integrating Quantity Discounts and Delivery Lead Time Considerations
por: Sobhani, Zahra, et al.
Publicado: (2026)

Mean Robust Optimization
por: Wang, Irina, et al.
Publicado: (2022)

Maximum Power Transfer for Nonlinear State Space Systems
por: van der Schaft, Arjan
Publicado: (2025)

Distance Between Stochastic Linear Systems
por: Renganathan, Venkatraman, et al.
Publicado: (2025)

Fair Supervised Learning Through Constraints on Smooth Nonconvex Unfairness-Measure Surrogates
por: Khatti, Zahra, et al.
Publicado: (2025)