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 @ NeurIPS 2023
8 papers from the LIONS group have been accepted to the 2023 edition of NeurIPS conference. Congratulations to all! This year NeurIPS conference and workshops will be held again in New Orleans, USA from 10th to 16th December.
PhD Defense of Ali Kavis
On August 22nd 2023, Ali Kavis a PhD student at LIONS lab, successfully defended his PhD thesis. The thesis, entitled "Universal and adaptive methods for robust stochastic optimization" was supervised by Prof. Volkan Cevher. Congratulations to Ali!