Pages that link to "Item:Q495556"

The following pages link to On the rate of convergence in Wasserstein distance of the empirical measure (Q495556):

Displaying 50 items.

• Quantifying Distributional Model Risk via Optimal Transport (Q5219730) (← links)
• Penalization of Barycenters in the Wasserstein Space (Q5231308) (← links)
• On the rate of convergence of empirical measure in $\infty $-Wasserstein distance for unbounded density function (Q5233999) (← links)
• Robust Wasserstein profile inference and applications to machine learning (Q5235055) (← links)
• One-dimensional empirical measures, order statistics, and Kantorovich transport distances (Q5242784) (← links)
• Long Time Results for a Weakly Interacting Particle System in Discrete Time (Q5256268) (← links)
• Propagation of chaos for the Vlasov–Poisson–Fokker–Planck equation with a polynomial cut-off (Q5380280) (← links)
• Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis (Q5858114) (← links)
• Finite Sample Approximations of Exact and Entropic Wasserstein Distances Between Covariance Operators and Gaussian Processes (Q5862898) (← links)
• Distributional Robustness in Minimax Linear Quadratic Control with Wasserstein Distance (Q5883161) (← links)
• Small mass limit in mean field theory for stochastic <i>N</i> particle system (Q5884835) (← links)
• Convergence and finite sample approximations of entropic regularized Wasserstein distances in Gaussian and RKHS settings (Q5889893) (← links)
• Finite Dimensional Approximations of Hamilton–Jacobi–Bellman Equations for Stochastic Particle Systems with Common Noise (Q6042792) (← links)
• Nonparametric Adaptive Robust Control under Model Uncertainty (Q6049374) (← links)
• Distributionally robust portfolio maximization and marginal utility pricing in one period financial markets (Q6054387) (← links)
• Deep empirical risk minimization in finance: Looking into the future (Q6054448) (← links)
• On the capacity of deep generative networks for approximating distributions (Q6055167) (← links)
• Approximation of distribution-independent and distribution-dependent stochastic differential equations with singular drifts (Q6058942) (← links)
• An Algebraic Convergence Rate for the Optimal Control of McKean–Vlasov Dynamics (Q6071808) (← links)
• Wasserstein convergence for empirical measures of subordinated diffusions on Riemannian manifolds (Q6072409) (← links)
• Optimal control problems in transport dynamics with additive noise (Q6072858) (← links)
• A class of dimension-free metrics for the convergence of empirical measures (Q6072907) (← links)
• Mean-Field Sparse Optimal Control of Systems with Additive White Noise (Q6090028) (← links)
• Continuous limits of residual neural networks in case of large input data (Q6098879) (← links)
• The Mean-Field Limit for Hybrid Models of Collective Motions with Chemotaxis (Q6102364) (← links)
• On adaptive confidence sets for the Wasserstein distances (Q6103231) (← links)
• Empirical approximation to invariant measures for McKean-Vlasov processes: mean-field interaction vs self-interaction (Q6103256) (← links)
• Convergence in Wasserstein distance for empirical measures of semilinear SPDEs (Q6103962) (← links)
• Data-driven nonparametric robust control under dependence uncertainty (Q6105378) (← links)
• Importance sampling for McKean-Vlasov SDEs (Q6106020) (← links)
• Path dependent McKean-Vlasov SDEs with Hölder continuous diffusion (Q6107311) (← links)
• The tamed Euler-Maruyama approximation of Mckean-Vlasov stochastic differential equations and asymptotic error analysis (Q6107313) (← links)
• Multiple-delay stochastic McKean-Vlasov equations with Hölder diffusion coefficients and their numerical schemes (Q6107316) (← links)
• Quantitative propagation of chaos for mean field Markov decision process with common noise (Q6110541) (← links)
• Online parameter estimation for the McKean-Vlasov stochastic differential equation (Q6115259) (← links)
• Parameter estimation of discretely observed interacting particle systems (Q6116557) (← links)
• Recent advances in the long-time analysis of killed degenerate processes and their particle approximation (Q6124977) (← links)
• Quantitative uniform stability of the iterative proportional fitting procedure (Q6126111) (← links)
• Sharp convergence rates for empirical optimal transport with smooth costs (Q6126797) (← links)
• Uniform-in-time propagation of chaos for kinetic mean field Langevin dynamics (Q6126984) (← links)
• The Convergence Problem in Mean Field Games with Neumann Boundary Conditions (Q6135326) (← links)
• The Mean Field Limit of Stochastic Differential Equation Systems Modeling Grid Cells (Q6137592) (← links)
• An Integrated Transportation Distance between Kernels and Approximate Dynamic Risk Evaluation in Markov Systems (Q6140989) (← links)
• Data‐driven predictive control for a class of uncertain control‐affine systems (Q6141952) (← links)
• An explicit Euler-Maruyama method for McKean-Vlasov SDEs driven by fractional Brownian motion (Q6143058) (← links)
• Convergence rate in \(\mathcal{L}^p\) sense of tamed EM scheme for highly nonlinear neutral multiple-delay stochastic McKean-Vlasov equations (Q6145205) (← links)
• Master Bellman equation in the Wasserstein space: Uniqueness of viscosity solutions (Q6145295) (← links)
• Empirical measures and random walks on compact spaces in the quadratic Wasserstein metric (Q6147698) (← links)
• The Wasserstein distance to the circular law (Q6147706) (← links)
• One-dimensional McKean-Vlasov stochastic Volterra equations with Hölder diffusion coefficients (Q6152042) (← links)