@conference{GreRubMehLocSch19,
title = {The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear {ICA}},
author = {Gresele*, L. and Rubenstein*, P. K. and Mehrjou, A. and Locatello, F. and Sch{\"{o}}lkopf, B.},
booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {53},
editors = {Amir Globerson and Ricardo Silva},
publisher = {{AUAI} Press},
month = jul,
year = {2019},
note = {*equal contribution},
url = {http://auai.org/uai2019/proceedings/papers/53.pdf},
month_numeric = {7}
}
@conference{Locatelloetal19,
title = {Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations},
author = {Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Sch{\"o}lkopf, B. and Bachem, O.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {4114--4124},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/locatello19a.html},
month_numeric = {6}
}
@conference{Fortuinetal19,
title = {SOM-VAE: Interpretable Discrete Representation Learning on Time Series},
author = {Fortuin, V. and H{\"u}ser, M. and Locatello, F. and Strathmann, H. and R{\"a}tsch, G.},
booktitle = {7th International Conference on Learning Representations (ICLR)},
month = may,
year = {2019},
url = {https://openreview.net/pdf?id=rygjcsR9Y7},
month_numeric = {5}
}
@conference{LocDreKhaValRat18,
title = {Boosting Black Box Variational Inference},
author = {Locatello*, F. and Dresdner*, G. and R., Khanna. and Valera, I. and R{\"a}tsch, G.},
booktitle = {Advances in Neural Information Processing Systems 31},
pages = {3405--3415},
editors = {S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett},
publisher = {Curran Associates, Inc.},
month = dec,
year = {2018},
note = {*equal contribution},
url = {http://papers.nips.cc/paper/7600-boosting-black-box-variational-inference.pdf},
month_numeric = {12}
}
@conference{YurFerLocCev18,
title = {A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming},
author = {Yurtsever, A. and Fercoq, O. and Locatello, F. and Cevher, V.},
booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML)},
volume = {80},
pages = {5713--5722},
series = {Proceedings of Machine Learning Research},
editors = {Dy, Jennifer and Krause, Andreas},
publisher = {PMLR},
month = jul,
year = {2018},
url = {http://proceedings.mlr.press/v80/yurtsever18a.html},
month_numeric = {7}
}
@conference{Locatelloetal18,
title = {On Matching Pursuit and Coordinate Descent},
author = {Locatello, F. and Raj, A. and Praneeth Karimireddy, S. and R{\"a}tsch, G. and Sch{\"o}lkopf, B. and Stich, S. U. and Jaggi, M.},
booktitle = {Proceedings of the 35th International Conference on Machine Learning (ICML)},
volume = {80},
pages = {3204--3213},
series = {Proceedings of Machine Learning Research},
editors = {Dy, Jennifer and Krause, Andreas},
publisher = {PMLR},
month = jul,
year = {2018},
url = {http://proceedings.mlr.press/v80/locatello18a.html},
month_numeric = {7}
}
@conference{LocKhaGhoRat18,
title = {Boosting Variational Inference: an Optimization Perspective},
author = {Locatello, F. and Khanna, R. and Ghosh, J. and R{\"a}tsch, G.},
booktitle = {Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {84},
pages = {464--472},
series = {Proceedings of Machine Learning Research},
editors = {Amos Storkey and Fernando Perez-Cruz},
publisher = {PMLR},
month = apr,
year = {2018},
url = {http://proceedings.mlr.press/v84/locatello18a.html},
month_numeric = {4}
}
@conference{LocKhaGhoRat17,
title = {Boosting Variational Inference: an Optimization Perspective },
author = {Locatello, F. and Khanna, R. and Ghosh, J. and R{\"a}tsch, G.},
booktitle = {Workshop: Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems},
month = dec,
year = {2017},
url = {http://approximateinference.org/2017/accepted/LocatelloEtAl2017.pdf},
month_numeric = {12}
}
@conference{LocTscRatJag17,
title = {Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees},
author = {Locatello, F. and Tschannen, M. and R{\"a}tsch, G. and Jaggi, M.},
booktitle = {Advances in Neural Information Processing Systems 30},
pages = {773--784},
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/6679-greedy-algorithms-for-cone-constrained-optimization-with-convergence-guarantees.pdf},
month_numeric = {12}
}