Search Results for author: Nicolas Grislain

Found 9 papers, 1 papers with code

Qrlew: Rewriting SQL into Differentially Private SQL

1 code implementation11 Jan 2024 Nicolas Grislain, Paul Roussel, Victoria de Sainte Agathe

This paper introduces Qrlew, an open source library that can parse SQL queries into Relations -- an intermediate representation -- that keeps track of rich data types, value ranges, and row ownership; so that they can easily be rewritten into differentially-private equivalent and turned back into SQL queries for execution in a variety of standard data stores.

Private Quantiles Estimation in the Presence of Atoms

no code implementations15 Feb 2022 Clément Sébastien Lalanne, Clément Gastaud, Nicolas Grislain, Aurélien Garivier, Rémi Gribonval

We consider the differentially private estimation of multiple quantiles (MQ) of a distribution from a dataset, a key building block in modern data analysis.

Generative Modeling of Complex Data

no code implementations4 Feb 2022 Luca Canale, Nicolas Grislain, Grégoire Lothe, Johan Leduc

In recent years, several models have improved the capacity to generate synthetic tabular datasets.

DP-XGBoost: Private Machine Learning at Scale

no code implementations25 Oct 2021 Nicolas Grislain, Joan Gonzalvez

There has been many works on practical systems to compute statistical queries with Differential Privacy (DP).

BIG-bench Machine Learning

Composable Generative Models

no code implementations18 Feb 2021 Johan Leduc, Nicolas Grislain

Any conditional generative model can be used as a sub-component of the CGM, including CGMs themselves, allowing the generation of numerical, categorical data as well as images, text, or time series.

Imputation Privacy Preserving +4

Optimal Allocation of Real-Time-Bidding and Direct Campaigns

no code implementations12 Jun 2020 Grégoire Jauvion, Nicolas Grislain

The optimal strategy gives a formula to determine the publisher bid as well as a way to choose the direct campaign being delivered if the publisher bidder wins the auction, depending on the impression characteristics.

Real-Time Optimization Of Web Publisher RTB Revenues

no code implementations12 Jun 2020 Pedro Chahuara, Nicolas Grislain, Grégoire Jauvion, Jean-Michel Renders

The real-world challenges we had to tackle consist mainly of tracking the dependencies on both the user and placement in an highly non-stationary environment and of dealing with censored bid observations.

Recurrent Neural Networks for Stochastic Control in Real-Time Bidding

no code implementations12 Jun 2020 Nicolas Grislain, Nicolas Perrin, Antoine Thabault

Bidding in real-time auctions can be a difficult stochastic control task; especially if underdelivery incurs strong penalties and the market is very uncertain.

Optimization of a SSP's Header Bidding Strategy using Thompson Sampling

no code implementations9 Jul 2018 Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne, Aurélien Garivier, Sébastien Gerchinovitz

The SSP acts as an intermediary between an advertiser wanting to buy ad spaces and a web publisher wanting to sell its ad spaces, and needs to define a bidding strategy to be able to deliver to the advertisers as many ads as possible while spending as little as possible.

Thompson Sampling

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