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4966 Publications
2018 | Conference Paper | IST-REx-ID: 14202 | 
Locatello, Francesco, Gideon Dresdner, Rajiv Khanna, Isabel Valera, and Gunnar Rätsch. “Boosting Black Box Variational Inference.” In Advances in Neural Information Processing Systems, Vol. 31. Neural Information Processing Systems Foundation, 2018.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 14201 |
Locatello, Francesco, Rajiv Khanna, Joydeep Ghosh, and Gunnar Rätsch. “Boosting Variational Inference: An Optimization Perspective.” In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, 84:464–72. ML Research Press, 2018.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 14198 |
Fortuin, Vincent, Matthias Hüser, Francesco Locatello, Heiko Strathmann, and Gunnar Rätsch. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” In International Conference on Learning Representations, 2018.
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| arXiv
2018 | Conference Paper | IST-REx-ID: 14203 |
Yurtsever, Alp, Olivier Fercoq, Francesco Locatello, and Volkan Cevher. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” In Proceedings of the 35th International Conference on Machine Learning, 80:5727–36. ML Research Press, 2018.
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| arXiv
2018 | Journal Article | IST-REx-ID: 282 |
Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.301018.
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| WoS