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.
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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 . Adapting to game trees in zero-sum imperfect information games
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Ruben Ohana (Flatiron), Kimia Nadjahi (MIT), Alain Rakotomamonjy (Criteo), Liva Ralaivola (Criteo). Shedding a PAC-Bayesian Light on Adaptive Sliced-Wasserstein Distances. https://arxiv.org/pdf/2206.03230.pdf
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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.
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Thibaut Issenhuth (Criteo, ENPC), Ugo Tanielian (Criteo), Jérémie Mary (Criteo), David Picard (ENPC). Unveiling the latent space geometry of push-forward generative models. https://arxiv.org/pdf/2207.10541.pdf
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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
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Otmane Sakhi (Criteo, CREST-ENSAE), Nicolas Chopin (CREST-ENSAE), Pierre Alquier (ESSEC). PAC-Bayesian Offline Contextual Bandits with Guarantees. PAC-Bayesian Offline Contextual Bandits With Guarantees
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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 (6Universite Paris- Saclay, CNRS, LISN ), Nicolas Courty (Universite Bretagne Sud, IRISA), Sliced-Wasserstein on Symmetric Positive Definite Matrices for M/EEG Signals, Sliced-Wasserstein on Symmetric Positive Definite Matrices for…
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Houssam Zenati (Criteo, INRIA), Eustache Diemert (Criteo), Matthieu Martin (Criteo), Julien Mairal (INRIA), Pierre Gaillard (INRIA). Sequential Counterfactual Risk Minimization. https://arxiv.org/pdf/2302.12120.pdf
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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.