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 @ EUSIPCO 2020
LIONS were present at EUSIPCO 2020 with the tutorial entitled " Adaptive Optimization Methods for Machine Learning and Signal Processing". The 28th European Signal Processing Conference (EUSIPCO 2020) was to be held in August 2020 but due to Covid-19 it was postponed. The event took place virutally from 18-22 January 2021. Slides to the tutorial can be found on the following site.
LIONS @ DS3 summer school 2020
Professor Volkan Cevher was invited to give a talk, "Optimization challenges in adversarial ML", during Data Science Summer School, which offers courses and practical sessions covering the latest advances in data science. The 4th edition of Data Science Summer School was initially planned to be held in June 2020 but due to Covid-19 it was postponed. Eventually, the event was held virtually from 4-9 January 2021.
LIONS @ 2020 OPT Workshop on Optimization for Machine Learning
Professor Volkan Cevher was invited to give a talk at 12th OPT Workshop on Optimization for Machine Learning. 2020 edition of OPT workshop has been run as a virtual event together with NeurIPS, from 11-12 December. Slides to the presentation can be found on the following site.