Welcome to our new post doc
We are pleased to welcome a new member : Valentina Zantedeschi a new post-doctoral researcher
Accepted paper @ NeurIPS 2019
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks Gaël Letarte, Pascal Germain, Benjamin Guedj, François Laviolette Conference on Neural Information Processing Systems (NeurIPS), 2019 [pdf] and also a communication in a workshop: Interpreting Neural Networks as Majority Votes through the PAC-Bayesian Theory Paul Viallard ; Rémi Emonet ; Pascal…
Welcome to two new APRIORI members
We are pleased to welcome two new members : Hemant Tyagi who is a researcher at Inria Lille – Nord Europe Paul Viallard has a Ph.D. Student co-supervised by A. Habrard and E. Morvant (Lab. H. Curien) and P. Germain (Inria Lille – Nord Europe, GRAAL Québec)
Benjamin Guedj will give a Tutorial on PAC-Bayes @ ICML
You are going to ICML 2019 ? Then don’t miss the tutorial on PAC-Bayes by Benjamin Guedj and John Shawe-Taylor on Monday, June 10th! More informations here
Kick-Off Meeting
Monday, 27th May – Inria, Paris Attendees: Rémi Emonet, Léo Gautheron, Pascal Germain, Benjamin Guedj, Amaury Habrard, Vera Shalaeva, Emilie Morvant, Paul Viallard Scientific talks Vera Shalaeva, PAC-Bayesian Generalization Bounds For Dropout Neural Networks Paul Viallard, Interpreting Neural Networks as Majority Votes Pascal Germain, Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep…
Accepted paper @ AISTATS 2019
Pseudo-Bayesian Learning with Kernel Fourier Transform as Prior Gaël Letarte ; Emilie Morvant ; Pascal Germain International Conference on Artificial Intelligence and Statistics (AISTATS), 2019, Naha, Okinawa, Japan The pre-publication document available as research report arXiv:1810.12683
Welcome to our website
Welcome to the website of the french project APRIORI funded by the French “Agence Nationale de la Recherche”.
