16 citations · 37 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
Recurrent Neural Networks for Stochastic Control in Real-Time Bidding
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. Most current works a…
Optimization of a SSP's Header Bidding Strategy using Thompson Sampling
Grégoire Jauvion, Nicolas Grislain, Pascal Sielenou Dkengne +2
Over the last decade, digital media (web or app publishers) generalized the use of real time ad auctions to sell their ad spaces. Multiple auction platforms, also called Supply-Sid…