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 Neural Networks

Léo Gautheron, Learning Landmark-Based Ensembles with Random Fourier Features and Boosting