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.
LIONS @ ICLR 2023
4 papers from LIONS lab have been accepted to ICLR 2023 (11th International Conference on Learning Representations). The conference will be held from May 1-5, 2023 in Kigali, Rwanda
PhD Defense of Paul Rolland
On October 14th 2022, Paul Rolland, a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Predicting in Uncertain Environments: Methods for Robust Machine Learning" was supervised by Prof. Volkan Cevher.