@conference{TolBouGelSch18,
title = {Wasserstein Auto-Encoders},
author = {Tolstikhin, I. and Bousquet, O. and Gelly, S. and Sch{\"o}lkopf, B.},
booktitle = {6th International Conference on Learning Representations (ICLR 2018)},
year = {2018},
url = {https://openreview.net/forum?id=HkL7n1-0b}
}
@conference{BalTolSch18,
title = {Differentially Private Database Release via Kernel Mean Embeddings},
author = {Balog, Matej and Tolstikhin, Ilya and Sch{\"o}lkopf, Bernhard},
booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML 2018)},
year = {2018}
}
@conference{TolGelBouSimSch17,
title = {AdaGAN: Boosting Generative Models},
author = {Tolstikhin, I. and Gelly, S. and Bousquet, O. and Simon-Gabriel, C. J. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings from the conference "Neural Information Processing Systems 2017.},
pages = {5430--5439},
editors = {Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.},
publisher = {Curran Associates, Inc.},
month = dec,
year = {2017},
url = {http://papers.nips.cc/paper/7126-adagan-boosting-generative-models.pdf},
month_numeric = {12}
}
@article{TolSriMua17,
title = {Minimax Estimation of Kernel Mean Embeddings},
author = {Tolstikhin, Ilya and Sriperumbudur, Bharath and Muandet, Krikamol},
journal = {Journal of Machine Learning Research},
volume = {18},
number = {86},
pages = {1--47},
year = {2017},
url = {http://jmlr.org/papers/v18/17-032.html}
}
@conference{RubTolHenSch17,
title = {Probabilistic Active Learning of Functions in Structural Causal Models},
author = {Rubenstein, P. K. and Tolstikhin, I. and Hennig, P. and Sch{\"o}lkopf, B.},
year = {2017}
}
@techreport{Bousquetetal17,
title = {From Optimal Transport to Generative Modeling: the VEGAN cookbook},
author = {Bousquet, Olivier and Gelly, Sylvain and Tolstikhin, Ilya and Simon-Gabriel, Carl Johann and Sch{\"o}lkopf, Bernhard},
year = {2017}
}
@conference{SciSimTolSch16,
title = {Consistent Kernel Mean Estimation for Functions of Random Variables},
author = {Scibior, A. and Simon-Gabriel, C. J. and Tolstikhin, I. and Sch{\"o}lkopf, B.},
booktitle = {Advances in Neural Information Processing Systems 29},
pages = {1732--1740},
editors = {D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett},
publisher = {Curran Associates, Inc.},
year = {2016},
url = {http://papers.nips.cc/paper/6545-consistent-kernel-mean-estimation-for-functions-of-random-variables.pdf}
}
@conference{TolSriSch16,
title = {Minimax Estimation of Maximum Mean Discrepancy with Radial Kernels},
author = {Tolstikhin, I. and Sriperumbudur, B. K. and Sch{\"o}lkopf, B.},
booktitle = {Advances in Neural Information Processing Systems 29},
pages = {1930--1938},
editors = {D. D. Lee, M. Sugiyama, U. V. Luxburg, I. Guyon, and R. Garnett},
publisher = {Curran Associates, Inc.},
year = {2016},
url = {http://papers.nips.cc/paper/6483-minimax-estimation-of-maximum-mean-discrepancy-with-radial-kernels.pdf}
}
@inproceedings{TolZhiBla15,
title = {Permutational Rademacher Complexity: a New Complexity Measure for Transductive Learning},
author = {Tolstikhin, I. and Zhivotovskiy, N and Blanchard, G.},
booktitle = {Proceedings of the 26th International Conference on Algorithmic Learning Theory},
volume = {9355},
pages = {209-223},
series = {Lecture Notes in Computer Science},
editors = {K. Chaudhuri, C. Gentile and S. Zilles},
publisher = {Springer},
month = oct,
year = {2015},
month_numeric = {10}
}
@inproceedings{LopMuaSchTol2015,
title = {Towards a Learning Theory of Cause-Effect Inference},
author = {Lopez-Paz, D. and Muandet, K. and Sch{\"o}lkopf, B. and Tolstikhin, I.},
booktitle = {Proceedings of the 32nd International Conference on Machine Learning},
volume = {37},
pages = {1452–1461},
series = {JMLR Workshop and Conference Proceedings},
editors = {F. Bach and D. Blei},
publisher = {JMLR},
year = {2015}
}
@inproceedings{TolBlaKlo14,
title = {Localized Complexities for Transductive Learning},
author = {Tolstikhin, I. and Blanchard, G. and Kloft, M.},
booktitle = {Proceedings of the 27th Conference on Learning Theory},
volume = {35},
pages = {857--884},
editors = {Balcan, M.-F. and Feldman, V. and Szepesvári, C.},
publisher = {JMLR},
year = {2014},
url = {http://jmlr.org/proceedings/papers/v35/tolstikhin14.pdf}
}
@inproceedings{TolSel13,
title = {PAC-Bayes-Empirical-Bernstein Inequality},
author = {Tolstikhin, I. O. and Seldin, Y.},
booktitle = {Advances in Neural Information Processing Systems 26},
pages = {109--117},
editors = {C.J.C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K.Q. Weinberger},
year = {2013},
url = {http://papers.nips.cc/paper/4903-pac-bayes-empirical-bernstein-inequality.pdf}
}