
#MachineLearning, #DataMining and #InformationRetrieval research team of @LabHubertCurien at @Univ_St_Etienne
Saint-Etienne, Rhône-Alpes
Joined February 2016
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"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
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
#phddefense of Guillaume Metzler @LabHubertCurien #machinelearning learning from #imbalanceddata : application to bank #fraud #detection #anomalydetection












