Copertina

Mean-Field Langevin Diffusions with Density-dependent Temperature

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Huang, Yu-Jui, Malik, Zachariah
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Optimization and Control Machine Learning Probability 60J60, 60H10, 90C26
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Dynamic programming for the stochastic matching model on general graphs: the case of the `N-graph'
di: Jean, Loïc, et al.
Pubblicazione: (2024)

Quadratic Mean-Field BSDEs and Exponential Utility Maximization
di: Ding, Yining, et al.
Pubblicazione: (2025)

A Note on the Bias and Kemeny's Constant in Markov Reward Processes with an Application to Markov Chain Perturbation
di: Ortner, Ronald
Pubblicazione: (2024)

Localization for constrained martingale problems and optimal conditions for uniqueness of reflecting diffusions in 2-dimensional domains
di: Costantini, Cristina, et al.
Pubblicazione: (2022)

Stochastic Gradient Descent Revisited
di: Louzi, Azar
Pubblicazione: (2024)

Self-interacting CBO: Existence, uniqueness, and long-time convergence
di: Huang, Hui, et al.
Pubblicazione: (2024)

A Large Deviations Perspective on Policy Gradient Algorithms
di: Jongeneel, Wouter, et al.
Pubblicazione: (2023)

Realisation of constraints in underdamped Langevin dynamics
di: Hartmann, Carsten, et al.
Pubblicazione: (2026)

Large Deviation Asymptotics for the Supermarket Model with Growing Choices
di: Budhiraja, Amarjit, et al.
Pubblicazione: (2025)

Controlled Interacting Branching Diffusion Processes: Relaxed Formulation in the Mean-Field Regime
di: Ocello, Antonio
Pubblicazione: (2023)

A Class of Degenerate Mean Field Games, Associated FBSDEs and Master Equations
di: Bensoussan, Alain, et al.
Pubblicazione: (2024)

Stochastic Optimal Control for Systems with Drifts of Bounded Variation: A Maximum Principle Approach
di: Bogso, Antoine Marie, et al.
Pubblicazione: (2025)

Classical solution of path-dependent mean-field semilinear PDEs
di: Tang, Shanjian, et al.
Pubblicazione: (2021)

Zero-one Laws for a Control Problem with Random Action Sets
di: Flesch, János, et al.
Pubblicazione: (2024)

Analysing heavy-tail properties of Stochastic Gradient Descent by means of Stochastic Recurrence Equations
di: Damek, Ewa, et al.
Pubblicazione: (2024)

Mini-Batch Covariance, Diffusion Limits, and Oracle Complexity in Stochastic Gradient Descent: A Sampling-Design Perspective
di: Zantedeschi, Daniel, et al.
Pubblicazione: (2026)

Strong and weak quantitative estimates in slow-fast diffusions using filtering techniques
di: Anugu, Sumith Reddy, et al.
Pubblicazione: (2025)

Scaling limit of first passage percolation geodesics on planar maps
di: Kammerer, Emmanuel
Pubblicazione: (2024)

Dimension-Uniform Discretization Analysis of Preconditioned Annealed Langevin Dynamics for Multimodal Gaussian Mixtures
di: Baldassari, Lorenzo, et al.
Pubblicazione: (2026)

High-dimensional learning dynamics of multi-pass Stochastic Gradient Descent in multi-index models
di: Fan, Zhou, et al.
Pubblicazione: (2026)

Constructive approaches to concentration inequalities with independent random variables
di: Moucer, Celine, et al.
Pubblicazione: (2024)

Stochastic Control Problems Motivated by Sailboat Trajectory Optimization
di: Ciccarella, Carlo, et al.
Pubblicazione: (2024)

Stochastic Optimal Control for Jump Diffusion Models with Singular Drifts
di: Bogso, Antoine-Marie, et al.
Pubblicazione: (2026)

A Particle Algorithm for Mean-Field Variational Inference
di: Du, Qiang, et al.
Pubblicazione: (2024)

Continuous-time mean field Markov decision models
di: Bäuerle, Nicole, et al.
Pubblicazione: (2023)

A probabilistic interpretation of a non-conservative and path-dependent nonlinear reaction-advection-diffusion system
di: Morale, Daniela, et al.
Pubblicazione: (2024)

Cutoff for Rewiring Dynamics on Perfect Matchings
di: Olesker-Taylor, Sam
Pubblicazione: (2021)

An Effective Particle Gradient Projection Method for Solving Stochastic and Mean Field Control Problem
di: Sun, Hui
Pubblicazione: (2026)

Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics
di: Baldassari, Lorenzo, et al.
Pubblicazione: (2026)

Asymptotic Nash Equilibria of Finite-State Ergodic Markovian Mean Field Games
di: Cohen, Asaf, et al.
Pubblicazione: (2024)

Many-Server Asymptotics for Join-the-Shortest-Queue: Large Deviations and Rare Events
di: Budhiraja, Amarjit, et al.
Pubblicazione: (2019)

Killed path-dependent McKean-Vlasov SDEs for a probabilistic representation of non-conservative McKean PDEs
di: Morale, Daniela, et al.
Pubblicazione: (2025)

Noise induced Stability of a Mean-Field model of Systemic Risk with uncertain robustness
di: Alecio, Alexander
Pubblicazione: (2025)

Constrained Consensus-Based Optimization and Numerical Heuristics for the Few Particle Regime
di: Beddrich, Jonas, et al.
Pubblicazione: (2024)

Long-Term Average Impulse and Singular Control of a Growth Model with Two Revenue Sources
di: Helmes, K. L., et al.
Pubblicazione: (2026)

What is the long-run distribution of stochastic gradient descent? A large deviations analysis
di: Azizian, Waïss, et al.
Pubblicazione: (2024)

Controlled Interacting Branching Diffusion Processes: A Viscosity Approach
di: Ocello, Antonio
Pubblicazione: (2026)

Sampling-Based Zero-Order Optimization Algorithms
di: Zhang, Xicheng
Pubblicazione: (2025)

Error estimates for tamed Euler and Randomized Euler schemes for SDEs with locally Lipschitz drift with applications to non-logconcave sampling and optimization
di: Lytras, Iosif, et al.
Pubblicazione: (2026)

Affine constraints in non-reversible diffusions with degenerate noise
di: Hartmann, Carsten, et al.
Pubblicazione: (2025)