Publications associées à Metropolis-Hastings sampling of paths

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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Serge Vaudenay

The maximal achievable advantage of a (computationally unbounded) distinguisher to determine whether a source

Z

is distributed according to distribution

P_0

P_1

, when given access to one sample of

Z

, is characterized by the statistical distance ...

Springer, Cham2020

Metropolis-Hastings sampling of paths

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Collaborative Sampling in Generative Adversarial Networks

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Multi-armed Bandits in Action

Variational Inference with Mixture Model Approximation for Applications in Robotics

Slope-Space Integrals for Specular Next Event Estimation

Retroactive Packet Sampling for Traffic Receipts

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Fast Mean Estimation with Sub-Gaussian Rates

Vase-Kite Equilibrium of Resorcin[4]arene Cavitands Investigated Using Molecular Dynamics Simulations with Ball-and-Stick Local Elevation Umbrella Sampling

Multithermal-Multibaric Molecular Simulations from a Variational Principle

Collaborative Sampling in Generative Adversarial Networks

Multi-armed Bandits in Action

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Variational Inference with Mixture Model Approximation for Applications in Robotics

Slope-Space Integrals for Specular Next Event Estimation

Retroactive Packet Sampling for Traffic Receipts

Multithermal-Multibaric Molecular Simulations from a Variational Principle

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Vase-Kite Equilibrium of Resorcin[4]arene Cavitands Investigated Using Molecular Dynamics Simulations with Ball-and-Stick Local Elevation Umbrella Sampling

Fast Mean Estimation with Sub-Gaussian Rates