Learning Kernel Perceptrons on Noisy Data Using Random Projections. - Guillaume Stempfel; Liva Ralaivola (ALT, 2007)

Learning SVMs from Sloppily Labeled Data. - Guillaume Stempfel; Liva Ralaivola (ICANN (1), 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary beta-Mixing Processes - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (CoRR, 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data. - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (AISTATS, 2009)

Chromatic PAC-Bayes Bounds for Non-IID Data: Applications to Ranking and Stationary β-Mixing Processes. - Liva Ralaivola; Marie Szafranski; Guillaume Stempfel (J. Mach. Learn. Res., 2010)

An optimally concentrated Gabor transform for localized time-frequency components. - Benjamin Ricaud; Guillaume Stempfel; Bruno Torrésani; Christoph Wiesmeyr; Hélène Lachambre; Darian M. Onchis (Adv. Comput. Math., 2014)

Optimal Window and Lattice in Gabor Transform. Application to Audio Analysis. - Hélène Lachambre; Benjamin Ricaud; Guillaume Stempfel; Bruno Torrésani; Christoph Wiesmeyr; Darian Onchis-Moaca (SYNASC, 2015)