@LabHubertCurien @ECMLPKDD

"Is my Neural Net driven by the MDL Principle?" Edouardo Brandao presents his paper @ECMLPKDD 2023, co-authors Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban @ECMLPKDD @LabHubertCurien @insadelyon @remiemonet

Question time

Live: PhD Defense of @paulviallard @LabHubertCurien @Univ_St_Etienne "PAC-Bayesian Bounds and Beyond: Self-Bounding Algorithms and New Perspectives on Generalization in Machine Learning" #MachineLearning

@paulviallard gave 2 talks @#CAp2022 -Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound (published @NeurIPSConf 21), joint work with @vzantedesc @EmilieMorvant @bguedj @MLpager A. Habrard -a preliminary work on complexity measures @LabHubertCurien

First talk of @LabHubertCurien @ #CAp2022 by T. Kerdoncuff, joint work with M. Perrot, @remiemonet and M. Sebban on Optimal Tensor Transport #machinelearning

Congratz to our new doctor! Rémi Viola defended his PhD today on "Highly Imbalanced Learning, Application to Fraud Detection" @Univ_St_Etienne @LabHubertCurien #machinelearning #computerscience

Two postdoc positions in Machine Learning at @LabHubertCurien @Univ_St_Etienne

#PhDdefense of Kevin Bascol Multisource #domainAdaptation on #imbalancedData #machinelearning @LabHubertCurien @Univ_St_Etienne @UniversiteLyon #bluecime

And today #phddefense of Jordan Frery on ensemble learning for extremely #imbalanceddata flows #MachineLearning #ai @WorldlineFrance @LabHubertCurien @Univ_St_Etienne @UniversiteLyon