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)

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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]

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]

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), Curran Associates, Inc., Advances in Neural Information Processing Systems 30 (NIPS), December 2017 (conference)

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ei Locatello, F., Tschannen, M., Rätsch, G., Jaggi, M. Greedy Algorithms for Cone Constrained Optimization with Convergence Guarantees Proceedings from the conference "Neural Information Processing Systems 2017., 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., Advances in Neural Information Processing Systems 30 (NIPS), December 2017 (conference)

link (url) [BibTex]