Non-convex entropic mean-field optimization via Best Response flow
Fuente:
arXiv
Guardado en:
| Autores principales: | Lascu, Razvan-Andrei, Majka, Mateusz B. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2025
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
A Fisher-Rao gradient flow for entropic mean-field min-max games
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
Entropic mean-field min-max problems via Best Response flow
por: Lascu, Razvan-Andrei, et al.
Publicado: (2023)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2023)
Mirror Descent-Ascent for mean-field min-max problems
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
On propagation of chaos for the Fisher-Rao gradient flow in entropic mean-field optimization
por: Lazić, Petra, et al.
Publicado: (2026)
por: Lazić, Petra, et al.
Publicado: (2026)
Linear convergence of proximal descent schemes on the Wasserstein space
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)
From Saddle Points Toward Global Minima: A Newton-Type Method on Wasserstein Space
por: Lascu, Razvan-Andrei, et al.
Publicado: (2026)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2026)
PPO in the Fisher-Rao geometry
por: Lascu, Razvan-Andrei, et al.
Publicado: (2025)
por: Lascu, Razvan-Andrei, et al.
Publicado: (2025)
Convergence rate of Tsallis entropic regularized optimal transport
por: Suguro, Takeshi, et al.
Publicado: (2023)
por: Suguro, Takeshi, et al.
Publicado: (2023)
Function approximation by neural nets in the mean-field regime: Entropic regularization and controlled McKean-Vlasov dynamics
por: Tzen, Belinda, et al.
Publicado: (2020)
por: Tzen, Belinda, et al.
Publicado: (2020)
Marginal flows of non-entropic weak Schrödinger bridges
por: Hernández, Camilo, et al.
Publicado: (2025)
por: Hernández, Camilo, et al.
Publicado: (2025)
Convergence rates for the Adam optimizer
por: Dereich, Steffen, et al.
Publicado: (2024)
por: Dereich, Steffen, et al.
Publicado: (2024)
Stochastic Inverse Problem: stability, regularization and Wasserstein gradient flow
por: Li, Qin, et al.
Publicado: (2024)
por: Li, Qin, et al.
Publicado: (2024)
Proximal optimal transport divergences
por: Baptista, Ricardo, et al.
Publicado: (2025)
por: Baptista, Ricardo, et al.
Publicado: (2025)
Convergence Error Analysis of Reflected Gradient Langevin Dynamics for Globally Optimizing Non-Convex Constrained Problems
por: Sato, Kanji, et al.
Publicado: (2022)
por: Sato, Kanji, et al.
Publicado: (2022)
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
por: Stöger, Dominik, et al.
Publicado: (2024)
por: Stöger, Dominik, et al.
Publicado: (2024)
An optimal advertising model with carryover effect and mean field terms
por: Gozzi, Fausto, et al.
Publicado: (2024)
por: Gozzi, Fausto, et al.
Publicado: (2024)
Improved sampling via learned diffusions
por: Richter, Lorenz, et al.
Publicado: (2023)
por: Richter, Lorenz, et al.
Publicado: (2023)
Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
por: Arnese, Manuel, et al.
Publicado: (2024)
por: Arnese, Manuel, et al.
Publicado: (2024)
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks
por: Hu, Jie, et al.
Publicado: (2024)
por: Hu, Jie, et al.
Publicado: (2024)
Learning operators on labelled conditional distributions with applications to mean field control of non exchangeable systems
por: Mekkaoui, Samy, et al.
Publicado: (2026)
por: Mekkaoui, Samy, et al.
Publicado: (2026)
Mitigating optimistic bias in entropic risk estimation and optimization
por: Sadana, Utsav, et al.
Publicado: (2024)
por: Sadana, Utsav, et al.
Publicado: (2024)
Non-geodesically-convex optimization in the Wasserstein space
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
por: Luu, Hoang Phuc Hau, et al.
Publicado: (2024)
Best of Both Worlds Guarantees for Smoothed Online Quadratic Optimization
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
por: Bhuyan, Neelkamal, et al.
Publicado: (2023)
Constructive conditional normalizing flows
por: Geshkovski, Borjan, et al.
Publicado: (2026)
por: Geshkovski, Borjan, et al.
Publicado: (2026)
Non--exchangeable mean field games with moderate interactions and common noise
por: Djete, Mao Fabrice
Publicado: (2026)
por: Djete, Mao Fabrice
Publicado: (2026)
Exact objectives of random linear programs and mean widths of random polyhedrons
por: Stojnic, Mihailo
Publicado: (2024)
por: Stojnic, Mihailo
Publicado: (2024)
Linear-quadratic optimal control for non-exchangeable mean-field SDEs and applications to systemic risk
por: de Crescenzo, Anna, et al.
Publicado: (2025)
por: de Crescenzo, Anna, et al.
Publicado: (2025)
On the consistent reasoning paradox of intelligence and optimal trust in AI: The power of 'I don't know'
por: Bastounis, Alexander, et al.
Publicado: (2024)
por: Bastounis, Alexander, et al.
Publicado: (2024)
Conditional simulation via entropic optimal transport: Toward non-parametric estimation of conditional Brenier maps
por: Baptista, Ricardo, et al.
Publicado: (2024)
por: Baptista, Ricardo, et al.
Publicado: (2024)
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)
ODE approximation for the Adam algorithm: General and overparametrized setting
por: Dereich, Steffen, et al.
Publicado: (2025)
por: Dereich, Steffen, et al.
Publicado: (2025)
Flatness-Aware Stochastic Gradient Langevin Dynamics
por: Bruno, Stefano, et al.
Publicado: (2025)
por: Bruno, Stefano, et al.
Publicado: (2025)
Admission Control of Quasi-Reversible Queueing Systems: Optimization and Reinforcement Learning
por: Comte, Céline, et al.
Publicado: (2025)
por: Comte, Céline, et al.
Publicado: (2025)
Controlling the Flow: Stability and Convergence for Stochastic Gradient Descent with Decaying Regularization
por: Kassing, Sebastian, et al.
Publicado: (2025)
por: Kassing, Sebastian, et al.
Publicado: (2025)
Representative Action Selection for Large Action Space Bandit Families
por: Zhou, Quan, et al.
Publicado: (2025)
por: Zhou, Quan, et al.
Publicado: (2025)
Designing Algorithms for Entropic Optimal Transport from an Optimisation Perspective
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
por: Srinivasan, Vishwak, et al.
Publicado: (2025)
Benchmarking Diffusion Annealing-Based Bayesian Inverse Problem Solvers
por: Crafts, Evan Scope, et al.
Publicado: (2025)
por: Crafts, Evan Scope, et al.
Publicado: (2025)
A stochastic gradient descent algorithm with random search directions
por: Gbaguidi, Eméric
Publicado: (2025)
por: Gbaguidi, Eméric
Publicado: (2025)
Algorithmic Stability of Stochastic Gradient Descent with Momentum under Heavy-Tailed Noise
por: Dang, Thanh, et al.
Publicado: (2025)
por: Dang, Thanh, et al.
Publicado: (2025)
Reinforcement Learning with Random Time Horizons
por: Borrell, Enric Ribera, et al.
Publicado: (2025)
por: Borrell, Enric Ribera, et al.
Publicado: (2025)
Ejemplares similares
-
A Fisher-Rao gradient flow for entropic mean-field min-max games
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024) -
Entropic mean-field min-max problems via Best Response flow
por: Lascu, Razvan-Andrei, et al.
Publicado: (2023) -
Mirror Descent-Ascent for mean-field min-max problems
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024) -
On propagation of chaos for the Fisher-Rao gradient flow in entropic mean-field optimization
por: Lazić, Petra, et al.
Publicado: (2026) -
Linear convergence of proximal descent schemes on the Wasserstein space
por: Lascu, Razvan-Andrei, et al.
Publicado: (2024)