Atlas Wang Receives Multiple Grants for Work on Artificial Intelligence
WNCG professor Atlas Wang has received several grants for his work on artificial intelligence.
Optimization
Qi Lei Wins Oden Institute Outstanding Dissertation Award
WNCG alumnus Dr. Qi Lei has received the 2021 Oden Institute Outstanding Dissertation Award. Her winning dissertation, “Provably effective algorithms for min-max optimization," proposes optimization algorithms to find the equilibrium point of two-player zero-sum games.
Read the dissertation abstract and find the link to the full text via the University of Texas Libraries.
Aryan Mokhtari Receives NSF Grant to Research Optimization Algorithms for Large-Scale Learning
WNCG professor Aryan Mokhtari has received a grant from the National Science Foundation (NSF) to study Computationally Efficient Second-Order Optimization Algorithms for Large-Scale Learning. The project “lays out an agenda to develop a class of memory efficient, computationally affordable, and distributed friendly second-order methods for solving modern machine learning problems.”
User Association in Heterogeneous Networks
In dense heterogeneous cellular networks, mobile devices such as smart phones can potentially associate with several different base stations. Which one should they choose? WNCG Profs.
Memory-Limited Learning
WNCG Prof. Constantine Caramanis along with Ph.D. student Ioannis Mitliagkas and MSR Bangalore researcher Dr. Prateek Jain, have obtained the first-ever linear-memory algorithm for Principal Component Analysis. Their algorithm is efficient to implement, needs to see each data point only once, and works even in the setting of many missing entries.
Mixed Regression: Disentangling Mixed Data
In two recent papers, Caramanis, Chen, Sanghavi and Yi obtain the best known statistical and computational complexity bounds for mixed regression.
