Emilie Morvant
               Assistant Professor (Maître de Conférences) in Machine Learning

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• May 24: Accepted paper at ECML-PKDD 2024
  A Theoretically Grounded Extension of Universal Attacks from the Attacker's Viewpoint
  
  
• May 24: A communication accepted paper at CAp 2024
  Une borne PAC-Bayésienne sur une mesure de risque pour l'apprentissage équitable
  
  
• Jan 24: Accepted paper at AISTATS 2024
  Leveraging PAC-Bayes Theory and Gibbs Distributions for Generalization Bounds with Complexity Measures
  
  
• July 23: Accepted paper a Machine Learning Journal
  Included in the program of ECML-PKDD 2023
  
• Dec 22: Paul Viallard defended his Ph.D. Congratz !
  Beyond PAC-Bayesian Bounds: From Disintegration to Novel Bounds
  
  
• May 22: 2 communications accepter at CAp'22
  
  
• I was a meta-reviewer for ECML-PKDD'22
  
  
• March 22: I was an external examinator of the PhD Thesis of Luxin Zhang --- Well done
  Model Agnostic Domain Adaptation: Application to Fraud Detection
  
  
• I was a reviewer for ICML 2022
  
  
• Two papers accepted at NeurIPS 2021
  Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
  A PAC-Bayes Analysis of Adversarial Robustness
  
  
• I am the publicity chair of ECML-PKDD 2022
  
  
• I am a membre of CNU 27
  the french National Council of Universities for computer science
  
  
• June 21: A paper accepted at ECML-PKDD'21
  Self-Bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound
  
  
• May 21: 3 communcations accepted at CAp'21
  
  
• I was a reviewer for ICML 2021
  
  
• Dec. 20: Léo Gautheron defended his Ph.D. Well Done.
  
  
• June 20: A paper accepted at ECML-PKDD'20
  Landmark-based Ensemble Learning with Random Fourier Features and Gradient Boosting
  
  
• May 20: Two communications accepted at CAp'20
  
  
• Apr. 20: A short version of our domain adaptation book is avalaible on ArXiV
  Metric Learning from Imbalanced Data with Generalization Guarantees
  
  
• A paper accepted in Pattern Recognition Letters
  Metric Learning from Imbalanced Data with Generalization Guarantees
  
  
• A communication accepted to ML with Guarantees workshop @NeurIPS'19
  Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory
  
  
• I will be a reviewer for IDA 2020
  
  
• Sept. 19: Spare time news - I obtained my 2nd star Black Belt in MKF
  
  
• Aug. 19: Our book on Domain Adaptation Theory is now available
  
  
• Aug. 19: A paper accepted in Neurocomputing journal
  PAC-Bayes and Domain Adaptation
  
  
• Aug. 19: A paper accepted at ICTAI'19
  Metric Learning from Imbalanced Data
  
  
• June 19: I am a board Member of the MALIA group of SFdS
  
  
• June 19: I will give a talk during JDS'19
  When PAC-Bayesian Majority Vote meets Domain Adaptation
  
  
• May 19: One communication accepted at >CAp'19
  
  
• May 19: A paper accepted in Neurocomputing journal
  
  
• I will be a reviewer for ECML-PKDD'19
  
  
• Jan. 19: The website of our project APRIORI is online here
  
  
• Dec. 18: paper accepted at AISTATS'2019
  Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior
  
  
• I will be a reviewer for ICML'19
  
  
• Research report on PAC-Bayes and Random Fourier features
  
  
• Oct. 18: Congratz to my student Anil Goyal who obtained his Ph.D.
  
  
• Post-Doc offer: Machine Learning for Multiview Learning
  More informations here
  
  
• ANR project APRIORI accepted (I am the coordinator)
  A Pac-bayesian RepresentatIOn leaRnIng perspective
  
  
• A paper accepted at IDA'18
  Multiview Learning of Weighted Majority Vote by Bregman Divergence Minimization
  
  
• I will be the co-chair of the Demo track ECML/PKDD'19
  
  
• Two communications accepted at CAp'18
  
  
• I am a reviewer for ICML'18
  
  
• I gave a talk at INRIA Lille, MODAL team
  When PAC-Bayesian Majority Vote meets Transfer Learning
  
  
• INS2I-CNRS project JCJC 2018 accepted "PaRaFF" (with P. Germain)
  PAC-Bayesian Random Fourier Features
  
  
• I will be a member of the scientific comittee of a NIPS 2017 workshop
  (Almost) 50 Shades of Bayesian Learning: PAC-Bayesian trends and insights
  
  
• Post-Doc offer: Machine Learning for Multiview Learning
  More informations here
  
  
• I am one of the vice-president of the SSFAM
  The French Association on Machine Learning
  
  
• June 17: A paper accepted at ECML'17
  PAC-Bayesian Analysis for a two-step Hierarchical Mutliview Learning Approach
  
  
• May 17: A communication accepted at CAp'17
  
  
• I will be a reviewer for NIPS'17
  
  
• I will be a reviewer for ICML'17
  
  
• Spare-time news: I am a 1st Star Black Belt in Mansuria Kung Fu!!
  
  
• The Hubert Curien Lab has its own Facebook Page
  and Twitter account Follow @LabHubertCurien
  
  
• My research group has its own YouTube Channel! Follow us
  
  
• Sept 16: A paper accepted in Neurocomputing
  Risk Upper Bounds for General Ensemble Methods with an application to Multiclass Classification
  
  
• May 16: A paper accepted at CAp 2016
  The french conference on machine learning
• April 16: A paper accepted at ICML 2016
  
  
• March 16: A new version of the research report A New PAC-Bayesian Perspective on Domain Adaptation
  
  
• My research group has its own Twitter account! Follow @DataIntelGroup
  
  
• What is Domain Adaptation?---a popularization: Slides of a talk I gave (in french)
  
  
• I will be a I will be a member of the programm comittee of BeyondLabeler - Human is More Than a Labeler
  
  
• I'm responsible of the maintenance & development of LabMetry (bibliometry platform created by J. Bennegent & F. Voron)
  
  
• The source code of our new domain adapatation algo is available here
  
  
• A communication accepted at a NIPS'15 Workshop
  Transfer and Multi-Task Learning: Trends and New Perspectives
  
  
• I am a member of the program comittee of the french conference on machine learning (CAp'16)
  
  
• I will be a reviewer for ICML 2016
  
  
• I am a member of the board of the Hubert Curien Lab.
  
  
• I was a reviewer for TASK-CV 2015
  
  
• I'm in charge of the 2nd year of BSc in Computer Science
  
  
• June 15: The research report on our novel work on domain adaptation is available
  A new PAC-Bayesian perspective on Domain Adaptation
  
  
• June 15: A new version of the research report
  On the Generalization of the C-Bound to Structured Output Ensemble Methods
  
  
• April 15: We are opening a PhD thesis position
  Annotations transfer in a domain adaptation framework
  
  
• Mar 15: Our long paper on PAC-Bayesian theorems for domain adaptation is available on arXiv
  
  
• Reviewer for ICML'2015
  
  
• Two communications accepted at NIPS'14 Workshops
  Transfer and Multi-task learning: Theory Meets Practice
  Representation and Learning Methods for Complex Outputs
  
  
• I will be a member of the organization committe of IDA 2015
  (International Symposium on Intelligent Data Analysis)
  
  
• Oct 14: I am an assitant professor at university of Saint-Etienne
  
  
• Sept 14: I received a Ph.D. award from Aix-Marseille Univ.
  
  
• A paper accepted at NIPS'14
  
  
• A paper accepted to Pattern Recognition Letters
  
  
• A paper accepted to Machine Learning Journal
  in the ECML/PKDD 2014 journal track
  
  
• A paper accepted at CAp 2014
  The french conference on machine learning
• May 14: My Ph.D. is awarded with a 1st accessit
              of the "Prix de thèse de l'AFIA 2014"
  
  
• April 14: A paper accepted at S+SSPR 14
  
  
• I will co-organize LEMA a workshop at ECML-PKDD'14
  LEarning with Multiple views: Applications to computer vision and multimedia
  
  
• A communication accepted at a NIPS'13 Workshop
  Transfer and Multi-Task Learning Workshop
  
  
• A communication accepted at WiML'13
  Women in Machine Learning workshop
  
  
• I will be a co-chair of ÖAGM 2014
  (The Annual Workshop of the Austrian Association for Pattern Recognition)
  
  
• 1st Oct. 13: I am a postdoc at the IST Austria
  
  
• Sept. 13: A paper accepted at ACML 2013
  
  
• 18 Sept. 13: Ph.D. public defense
  
  
• April 13: Two papers accepted at CAp'13
                      (French Conference on ML)
  
  
• March 13: A paper accepted at ICML 2013