Publications associées à On the probability distribution of distributed optimization strategies

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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

On the probability distribution of distributed optimization strategies

Graph Chatbot

Chattez avec Graph Search

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Wasserstein Distributionally Robust Learning

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator

Inference on the Angular Distribution of Extremes

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Distributional Robustness in Mechanism Design

Fractional extreme distributions

From Data to Decisions: Distributionally Robust Optimization is Optimal

Wasserstein Distributionally Robust Learning

Inference on the Angular Distribution of Extremes

Distributional Robustness in Mechanism Design

Fractional extreme distributions

From Data to Decisions: Distributionally Robust Optimization is Optimal

Investigating Crosstalk Among PTMs Provides Novel Insight Into the Structural Basis Underlying the Differential Effects of Nt17 PTMs on Mutant Httex1 Aggregation

Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

Robust Generalization despite Distribution Shift via Minimum Discriminating Information

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Distributionally Robust Inverse Covariance Estimation: The Wasserstein Shrinkage Estimator