Uniform Value and Decidability in Ergodic Blind Stochastic Games
Fuente:
arXiv
Enregistré dans:
| Auteurs principaux: | Chatterjee, Krishnendu, Lurie, David, Saona, Raimundo, Ziliotto, Bruno |
|---|---|
| Format: | Preprint |
| Publié: |
2024
|
| Sujets: | |
| Accès en ligne: | |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Documents similaires
A Speed-up for Helsgaun's TSP Heuristic by Relaxing the Positive Gain Criterion
par: Ammann, Sabrina C. L., et autres
Publié: (2024)
par: Ammann, Sabrina C. L., et autres
Publié: (2024)
The Güler-type acceleration for proximal gradient, linearized augmented Lagrangian and linearized alternating direction method of multipliers
par: Zhou, Bin, et autres
Publié: (2025)
par: Zhou, Bin, et autres
Publié: (2025)
Distributed Computing for Huge-Scale Aggregative Convex Programming
par: Tao, Luoyi
Publié: (2026)
par: Tao, Luoyi
Publié: (2026)
Dimension-free estimators of gradients of functions with(out) non-independent variables
par: Lamboni, Matieyendou
Publié: (2025)
par: Lamboni, Matieyendou
Publié: (2025)
Bundle EXTRA for Decentralized Optimization
par: Liu, Haijuan, et autres
Publié: (2026)
par: Liu, Haijuan, et autres
Publié: (2026)
Improved approximation ratios for the Quantum Max-Cut problem on general, triangle-free and bipartite graphs
par: Gribling, Sander, et autres
Publié: (2025)
par: Gribling, Sander, et autres
Publié: (2025)
On the boundedness of the sequence generated by minibatch stochastic gradient descent
par: Bauschke, Heinz H., et autres
Publié: (2025)
par: Bauschke, Heinz H., et autres
Publié: (2025)
A constraint-based approach to function interpolation, with application to performance estimation for weakly convex optimisation
par: Rubbens, Anne, et autres
Publié: (2024)
par: Rubbens, Anne, et autres
Publié: (2024)
Interpolation Conditions for Linear Operators and Applications to Performance Estimation Problems
par: Bousselmi, Nizar, et autres
Publié: (2023)
par: Bousselmi, Nizar, et autres
Publié: (2023)
DualFL: A Duality-based Federated Learning Algorithm with Communication Acceleration in the General Convex Regime
par: Park, Jongho, et autres
Publié: (2023)
par: Park, Jongho, et autres
Publié: (2023)
Distributed Computing for Huge-Scale Linear Programming
par: Tao, Luoyi
Publié: (2024)
par: Tao, Luoyi
Publié: (2024)
On the resolution of $\ell_1$-norm minimization via a two-metric adaptive projection method
par: Wu, Hanju, et autres
Publié: (2025)
par: Wu, Hanju, et autres
Publié: (2025)
Complexity of Geometric programming in the Turing model and application to nonnegative tensors
par: Friedland, Shmuel, et autres
Publié: (2023)
par: Friedland, Shmuel, et autres
Publié: (2023)
Convergence of iterates and improved rates for accelerated augmented Lagrangian methods for linearly constrained convex optimization
par: He, Xin, et autres
Publié: (2026)
par: He, Xin, et autres
Publié: (2026)
A distributed proximal splitting method with linesearch for locally Lipschitz gradients
par: Atenas, Felipe, et autres
Publié: (2024)
par: Atenas, Felipe, et autres
Publié: (2024)
A semiconcavity approach to stability of entropic plans and exponential convergence of Sinkhorn's algorithm
par: Chiarini, Alberto, et autres
Publié: (2024)
par: Chiarini, Alberto, et autres
Publié: (2024)
Distributed Gradient-Regularized Newton Method: Scheduled Consensus and O(epsilon^{-1}) Global Iteration Complexity
par: Hu, Wei, et autres
Publié: (2026)
par: Hu, Wei, et autres
Publié: (2026)
Symmetric Submodular Functions, Uncrossable Functions, and Structural Submodularity
par: Simmons, Miles, et autres
Publié: (2025)
par: Simmons, Miles, et autres
Publié: (2025)
Tractable downfall of basis pursuit in structured sparse optimization
par: Marmary, Maya V., et autres
Publié: (2025)
par: Marmary, Maya V., et autres
Publié: (2025)
Connections between convex optimization algorithms and subspace correction methods
par: Jiang, Boou, et autres
Publié: (2025)
par: Jiang, Boou, et autres
Publié: (2025)
On semidefinite programming characterizations of the numerical radius and its dual norm
par: Friedland, Shmuel, et autres
Publié: (2023)
par: Friedland, Shmuel, et autres
Publié: (2023)
Universal Complexity Bounds for Universal Gradient Methods in Nonlinear Optimization
par: Nesterov, Yurii
Publié: (2025)
par: Nesterov, Yurii
Publié: (2025)
Kurdyka-Łojasiewicz exponent via Hadamard parametrization
par: Ouyang, Wenqing, et autres
Publié: (2024)
par: Ouyang, Wenqing, et autres
Publié: (2024)
Kurdyka-Łojasiewicz exponent via square transformation
par: Ouyang, Wenqing
Publié: (2025)
par: Ouyang, Wenqing
Publié: (2025)
Halpern Acceleration of the Inexact Proximal Point Method of Rockafellar
par: Zhang, Liwei, et autres
Publié: (2025)
par: Zhang, Liwei, et autres
Publié: (2025)
CompressedScaffnew: The First Theoretical Double Acceleration of Communication from Local Training and Compression in Distributed Optimization
par: Condat, Laurent, et autres
Publié: (2022)
par: Condat, Laurent, et autres
Publié: (2022)
Decentralized Optimization in Networks with Arbitrary Delays
par: Ortega, Tomas, et autres
Publié: (2024)
par: Ortega, Tomas, et autres
Publié: (2024)
Accelerating preconditioned ADMM via degenerate proximal point mappings
par: Sun, Defeng, et autres
Publié: (2024)
par: Sun, Defeng, et autres
Publié: (2024)
Fast Reflected Forward-Backward algorithm: achieving fast convergence rates for convex optimization with linear cone constraints
par: Bot, Radu Ioan, et autres
Publié: (2024)
par: Bot, Radu Ioan, et autres
Publié: (2024)
An Efficient Stochastic First-Order Algorithm for Nonconvex-Strongly Concave Minimax Optimization beyond Lipschitz Smoothness
par: Gao, Yan, et autres
Publié: (2026)
par: Gao, Yan, et autres
Publié: (2026)
Solving Regularized Multifacility Location Problems with Unknown Number of Centers via Difference-of-Convex Optimization
par: Geremew, W., et autres
Publié: (2026)
par: Geremew, W., et autres
Publié: (2026)
Loss Minimization for Electrical Flows over Spanning Trees on Grids
par: Ito, Takehiro, et autres
Publié: (2024)
par: Ito, Takehiro, et autres
Publié: (2024)
Sample-based almost-sure quasi-optimal approximation in reproducing kernel Hilbert spaces
par: Hegemann, Nando, et autres
Publié: (2024)
par: Hegemann, Nando, et autres
Publié: (2024)
Covering and packing mixed-integer linear programs with a fixed number of constraints: Approximation and convex hull
par: Grobben, Kobe, et autres
Publié: (2025)
par: Grobben, Kobe, et autres
Publié: (2025)
Decentralized Optimization in Time-Varying Networks with Arbitrary Delays
par: Ortega, Tomas, et autres
Publié: (2024)
par: Ortega, Tomas, et autres
Publié: (2024)
On semidefinite programming characterizations of the numerical radius and its dual norm for quaternionic matrices
par: Friedland, Shmuel
Publié: (2023)
par: Friedland, Shmuel
Publié: (2023)
Congestion and Penalization in Optimal Transport
par: Gallardo, Marcelo, et autres
Publié: (2024)
par: Gallardo, Marcelo, et autres
Publié: (2024)
An inertial iteratively regularized extragradient method for bilevel variational inequality problems
par: Alves, M. Marques, et autres
Publié: (2025)
par: Alves, M. Marques, et autres
Publié: (2025)
Analysis of Kernel Mirror Prox for Measure Optimization
par: Dvurechensky, Pavel, et autres
Publié: (2024)
par: Dvurechensky, Pavel, et autres
Publié: (2024)
A Heuristic Alternating Direction Method of Multipliers Framework for Distributed and Centralized Tree-Constrained Optimization: Applications to Hop-Constrained Spanning Tree Multicommodity Flow Design
par: Mokhtari, Yacine
Publié: (2025)
par: Mokhtari, Yacine
Publié: (2025)
Documents similaires
-
A Speed-up for Helsgaun's TSP Heuristic by Relaxing the Positive Gain Criterion
par: Ammann, Sabrina C. L., et autres
Publié: (2024) -
The Güler-type acceleration for proximal gradient, linearized augmented Lagrangian and linearized alternating direction method of multipliers
par: Zhou, Bin, et autres
Publié: (2025) -
Distributed Computing for Huge-Scale Aggregative Convex Programming
par: Tao, Luoyi
Publié: (2026) -
Dimension-free estimators of gradients of functions with(out) non-independent variables
par: Lamboni, Matieyendou
Publié: (2025) -
Bundle EXTRA for Decentralized Optimization
par: Liu, Haijuan, et autres
Publié: (2026)