Publications associées à Satisficing measure approach for vehicle routing problem with time windows under uncertainty

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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

Satisficing measure approach for vehicle routing problem with time windows under uncertainty

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Chattez avec Graph Search

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

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Sublinear Bounds on the Distinguishing Advantage for Multiple Samples

On the Use of Benford’s Law to Assess the Quality of the Data Provided by Lightning Locating Systems

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

Beyond fine-tuning: LoRA modules boost near-OOD detection and LLM security

The online electric autonomous dial-a-ride problem

The Importance of Modeling Data Missingness in Algorithmic Fairness: A Causal Perspective

Scalable Stochastic Optimization: Scenario Reduction with Guarantees

Statistical Aspects of Wasserstein Distances

Scenario Reduction Revisited: Fundamental Limits and Guarantees

The electric autonomous dial-a-ride problem