9 papers from the Criteo AI Lab at ICML - Criteo AI Lab

9 papers from the Criteo AI Lab at ICML

By: Criteo AI Lab / 05 Jun 2023

We are happy to share that we’ve had 9 papers accepted to ICML 2023! Congrats to all Criteo AI Lab authors and their fellow co-authors.

Côme Fiegel (ENSAE), Pierre Ménard (ENS Lyon), Tadashi Kozuno (Omron Sinic X), Rémi Munos (DeepMind), Vianney Perchet (Criteo & ENSAE), Michal Valko (DeepMind). Adapting to game trees in zero-sum imperfect information games. Read more
Ruben Ohana (Flatiron), Kimia Nadjahi (MIT), Alain Rakotomamonjy (Criteo), Liva Ralaivola (Criteo). Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. Read more
Nadav Merlis (ENSAE), Hugo Richard (Criteo), Flore Sentenac (ENSAE), Corentin Odic (ENSAE), Mathieu Molina (ENSAE), Vianney Perchet (Criteo, ENSAE). On Preemption and Learning in Stochastic Scheduling.
Thibaut Issenhuth (Criteo, ENPC), Ugo Tanielian (Criteo), Jérémie Mary (Criteo), David Picard (ENPC). Unveiling the latent space geometry of push-forward generative models. Read more
Morgane Goibert (Criteo, Telecom Paris), Ekhine Irurozki (Telecom Paris), Clément Calauzènes (Criteo), Stephan Clémençon (Telecom Paris). Robust Consensus in Ranking Data Analysis: Definitions, Properties and Computational Issues.
Otmane Sakhi (Criteo, CREST-ENSAE), Nicolas Chopin (CREST-ENSAE), Pierre Alquier (ESSEC). PAC-Bayesian Offline Contextual Bandits with Guarantees. Read more
Clément Bonet (Universite Bretagne Sud), Benoît Malézieux (Universite Paris-Saclay, Inria, CEA), Alain Rakotomamonjy (Criteo), Lucas Drumetz (IMT Atlantique, Lab-STICC), Thomas Moreau (Universite Paris-Saclay, Inria, CEA), Matthieu Kowalski (Universite Paris-Saclay, CNRS, LISN), Nicolas Courty (Universite Bretagne Sud, IRISA). Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals. Read more
Houssam Zenati (Criteo, INRIA), Eustache Diemert (Criteo), Matthieu Martin (Criteo), Julien Mairal (INRIA), Pierre Gaillard (INRIA). Sequential Counterfactual Risk Minimization. Read more
Imad Aouali (Criteo AI Lab, CREST-ENSAE), Victor-Emmanuel Brunel (CREST-ENSAE), David Rohde (Criteo AI Lab), Anna Korba (CREST-ENSAE). Exponential Smoothing for Off-Policy Learning.