Christian P Robert — accepted AI-conference papers

2026

Persuasive Privacy

Joshua J Bon, James Bailie, Judith Rousseau, Christian P Robert

ICML 2026poster

We propose a novel framework for measuring privacy from a Bayesian game-theoretic perspective. This framework enables the creation of new, purpose-driven privacy definitions that are rigorously justified, while also allowing for the assessment of existing privacy guarantees through game theory. We s…

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2021

NEO: Non Equilibrium Sampling on the Orbits of a Deterministic Transform

Achille Thin, Yazid Janati El Idrissi, Sylvain Le Corff, Charles Ollion, Eric Moulines, Arnaud Doucet +2

NeurIPS 2021poster

Sampling from a complex distribution $\pi$ and approximating its intractable normalizing constant $\mathrm{Z}$ are challenging problems. In this paper, a novel family of importance samplers (IS) and Markov chain Monte Carlo (MCMC) samplers is derived. Given an invertible map $\mathrm{T}$, these sc…

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