Francesco Locatello

Empirical Inference

Max-Planck-Ring 4
72076 Tübingen
Germany

+49 7071 601

+49 7071 601 552

Publications

6 results (View BibTeX file of all listed publications)

2018

A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming

Yurtsever, A., Fercoq, O., Locatello, F., Cevher, V.

Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5713-5722, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, 2018 (conference)

link (url) [BibTex]

2018

ei Yurtsever, A., Fercoq, O., Locatello, F., Cevher, V. A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 5713-5722, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, 2018 (conference)

link (url) [BibTex]

Boosting Variational Inference: an Optimization Perspective

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G.

Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, 2018 (conference)

link (url) [BibTex]

ei Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Boosting Variational Inference: an Optimization Perspective Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (AISTATS), 84, pages: 464-472, Proceedings of Machine Learning Research, (Editors: Amos Storkey and Fernando Perez-Cruz), PMLR, 2018 (conference)

link (url) [BibTex]

Boosting Black Box Variational Inference

Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G.

32th Annual Conference on Neural Information Processing Systems (NIPS), 2018, *equal contribution (conference) Accepted

arXiv [BibTex]

ei Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G. Boosting Black Box Variational Inference 32th Annual Conference on Neural Information Processing Systems (NIPS), 2018, *equal contribution (conference) Accepted

arXiv [BibTex]

On Matching Pursuit and Coordinate Descent

Locatello, F., Raj, A., Praneeth Karimireddy, S., Rätsch, G., Schölkopf, B., Stich, S. U., Jaggi, M.

Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 3204-3213, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, 2018 (conference)

link (url) [BibTex]

ei Locatello, F., Raj, A., Praneeth Karimireddy, S., Rätsch, G., Schölkopf, B., Stich, S. U., Jaggi, M. On Matching Pursuit and Coordinate Descent Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 3204-3213, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, 2018 (conference)

link (url) [BibTex]

2017

Boosting Variational Inference: an Optimization Perspective

Locatello, F., Khanna, R., Ghosh, J., Rätsch, G.

Workshop: Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems (NIPS), December 2017 (conference)

link (url) [BibTex]

2017

ei Locatello, F., Khanna, R., Ghosh, J., Rätsch, G. Boosting Variational Inference: an Optimization Perspective Workshop: Advances in Approximate Bayesian Inference at the 31st Conference on Neural Information Processing Systems (NIPS), December 2017 (conference)

link (url) [BibTex]

Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees

Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M.

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.), Curran Associates, Inc., 31st Annual Conference on Neural Information Processing Systems (NIPS), December 2017 (conference)

link (url) [BibTex]

ei Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M. Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees 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.), Curran Associates, Inc., 31st Annual Conference on Neural Information Processing Systems (NIPS), December 2017 (conference)

link (url) [BibTex]