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