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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Printed Iontophoretic‐Integrated Wearable Microfluidic Sweat‐Sensing Patch for On‐Demand Point‐Of‐Care Sweat Analysis

A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET

Collaborative Sampling in Generative Adversarial Networks

Multi-armed Bandits in Action

From Data to Decisions: Distributionally Robust Optimization is Optimal

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

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Collaborative Sampling in Generative Adversarial Networks

A statistical approach for the automatic identification of the start of the chain of events leading to the disruptions at JET

Printed Iontophoretic‐Integrated Wearable Microfluidic Sweat‐Sensing Patch for On‐Demand Point‐Of‐Care Sweat Analysis

From Data to Decisions: Distributionally Robust Optimization is Optimal

Multi-armed Bandits in Action

Retroactive Packet Sampling for Traffic Receipts

Approximation of Non-decaying Signals from Shift-Invariant Subspaces

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Slope-Space Integrals for Specular Next Event Estimation

Variational Inference with Mixture Model Approximation for Applications in Robotics