Ramachandran, Akshay

1. Near optimal sample complexity for matrix and tensor normal models via geodesic convexity
   2021/10/14 by Franks, Cole, Oliveira, Rafael, Ramachandran, Akshay +1 · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Machine Learning (cs.LG) #Primary: 62F12 #Quantum Physics (quant-ph) #Secondary: 62F30 #Statistics Theory (math.ST)
2. Spectral analysis of matrix scaling and operator scaling
   2019/04/05 by Kwok, Tsz Chiu, Lau, Lap Chi, Ramachandran, Akshay · 2 citations
   #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Functional Analysis (math.FA) #Optimization and Control (math.OC) #Quantum Physics (quant-ph)
3. Hidden convexity, optimization, and algorithms on rotation matrices
   2023/04/17 by Ramachandran, Akshay, Shu, Kevin, Wang, Alex L. · 1 citation
   #52A41 #70G65 #90C22 #90C26 #FOS: Mathematics #Optimization and Control (math.OC)