Search Results

Grigorios A Pavliotis: Accelerating convergence and reducing variance for Langevin samplers

Grigorios A Pavliotis: Accelerating convergence and reducing variance for Langevin samplers

When Is the Convergence Time of Langevin Algorithms Dimension Independent: ...

When Is the Convergence Time of Langevin Algorithms Dimension Independent: ...

Stratification as a Device for Variance Reduction

Stratification as a Device for Variance Reduction

Testing(3)

Testing(3)

Grigorios Pavliotis: "Mean field limits of weakly interacting diffusions and applications"

Grigorios Pavliotis: "Mean field limits of weakly interacting diffusions and applications"

Greg Pavliotis (DDMCS@Turing): Phase transitions for mean field limits of noisy interacting agents

Greg Pavliotis (DDMCS@Turing): Phase transitions for mean field limits of noisy interacting agents

Mate Lengyel: Neural variability and sampling-based probabilistic representations

Mate Lengyel: Neural variability and sampling-based probabilistic representations

Big data Madrid 2018: Grigorios Pavliotis

Big data Madrid 2018: Grigorios Pavliotis

[統計力學特論] 15、Langevin Equation

[統計力學特論] 15、Langevin Equation

06 Leo Convergence Acceleration

06 Leo Convergence Acceleration

Stochastic Gradient Langevin Sampling

Stochastic Gradient Langevin Sampling

Local Optimality and Generalization Guarantees for the Langevin Algorithm ...

Local Optimality and Generalization Guarantees for the Langevin Algorithm ...