Laboratory for Information and Inference Systems – LIONS
We divide our research into two synergistic theory thrusts: information scalable optimization and data acquisition, and learning theory and methods for low-dimensional signal models. These research directions dovetail in order to develop a unified theory and practical toolset for adaptive representations, sampling and computational methods for high-dimensional data that feature structured geometric and combinatorial foundations.
PhD Defense of Mehmet Fatih Sahin
On April 27th 2023, Mehmet Fatih Sahin, a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Augmented Lagrangian Methods for Provable and Scalable Machine Learning" was supervised by Prof. Volkan Cevher.
EPFL papers @ ICML 2023
The following LIONS papers have been accepted to ICML 2023 (Fortieth International Conference on Machine Learning). The conference will be held from July 23-29, 2023 in Honolulu, Hawaii, USA