16 citations · 46 across the 9 of their papers we have counts for
9 papers
Generative Modeling of Complex Data
Luca Canale, Nicolas Grislain, Grégoire Lothe +1
In recent years, several models have improved the capacity to generate synthetic tabular datasets. However, such models focus on synthesizing simple columnar tables and are not use…
Private Quantiles Estimation in the Presence of Atoms
Clément Sébastien Lalanne, Clément Gastaud, Nicolas Grislain +2
We consider the differentially private estimation of multiple quantiles (MQ) of a distribution from a dataset, a key building block in modern data analysis. We apply the recent non…
DP-XGBoost: Private Machine Learning at Scale
Nicolas Grislain, Joan Gonzalvez
The big-data revolution announced ten years ago does not seem to have fully happened at the expected scale. One of the main obstacle to this, has been the lack of data circulation.…
Composable Generative Models
Johan Leduc, Nicolas Grislain
Generative modeling has recently seen many exciting developments with the advent of deep generative architectures such as Variational Auto-Encoders (VAE) or Generative Adversarial…
Real-Time Optimization Of Web Publisher RTB Revenues
Pedro Chahuara, Nicolas Grislain, Grégoire Jauvion +1
This paper describes an engine to optimize web publisher revenues from second-price auctions. These auctions are widely used to sell online ad spaces in a mechanism called real-tim…
Optimal Allocation of Real-Time-Bidding and Direct Campaigns
Grégoire Jauvion, Nicolas Grislain
In this paper, we consider the problem of optimizing the revenue a web publisher gets through real-time bidding (i.e. from ads sold in real-time auctions) and direct (i.e. from ads…