Publications associées à Gradient estimates of return distributions

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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

Gradient estimates of return distributions

Graph Chatbot

Chattez avec Graph Search

Quantum conformance test

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Wasserstein Distributionally Robust Learning

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Distributional Robustness in Mechanism Design

Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

On the probability distribution of the local times of diagonally operator-self-similar Gaussian fields with stationary increments

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations

Quantum conformance test

Distributional Robustness in Mechanism Design

Distributionally Robust Optimization with Polynomial Densities: Theory, Models and Algorithms

Towards Interactions Through Differentiable-Non-Differentiable Scale Transitions In Scale Relativity Theory

Simulation-based Anomaly Detection and Damage Localization: An application to Structural Health Monitoring

Wasserstein Distributionally Robust Learning

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

On the probability distribution of the local times of diagonally operator-self-similar Gaussian fields with stationary increments

Regret Minimization and Separation in Multi-Bidder Multi-Item Auctions

Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations