Tolstikhin, Ilya O

9 publications

NeurIPS 2021 MLP-Mixer: An All-MLP Architecture for Vision Ilya O Tolstikhin, Neil Houlsby, Alexander Kolesnikov, Lucas Beyer, Xiaohua Zhai, Thomas Unterthiner, Jessica Yung, Andreas Steiner, Daniel Keysers, Jakob Uszkoreit, Mario Lucic, Alexey Dosovitskiy
NeurIPS 2020 What Do Neural Networks Learn When Trained with Random Labels? Hartmut Maennel, Ibrahim M Alabdulmohsin, Ilya O Tolstikhin, Robert Baldock, Olivier Bousquet, Sylvain Gelly, Daniel Keysers
NeurIPS 2019 Practical and Consistent Estimation of F-Divergences Paul Rubenstein, Olivier Bousquet, Josip Djolonga, Carlos Riquelme, Ilya O Tolstikhin
NeurIPS 2017 AdaGAN: Boosting Generative Models Ilya O Tolstikhin, Sylvain Gelly, Olivier Bousquet, Carl-Johann Simon-Gabriel, Bernhard Schölkopf
NeurIPS 2016 Consistent Kernel Mean Estimation for Functions of Random Variables Carl-Johann Simon-Gabriel, Adam Scibior, Ilya O Tolstikhin, Bernhard Schölkopf
NeurIPS 2016 Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels Ilya O Tolstikhin, Bharath K. Sriperumbudur, Bernhard Schölkopf
ALT 2015 Permutational Rademacher Complexity - A New Complexity Measure for Transductive Learning Ilya O. Tolstikhin, Nikita Zhivotovskiy, Gilles Blanchard
COLT 2014 Localized Complexities for Transductive Learning Ilya O. Tolstikhin, Gilles Blanchard, Marius Kloft
NeurIPS 2013 PAC-Bayes-Empirical-Bernstein Inequality Ilya O Tolstikhin, Yevgeny Seldin