Akshay Ramachandran

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 10

Top Topics

Strongly Polynomial

Top Venues

Publications

Daniel Dadush, Akshay Ramachandran
Strongly Polynomial Frame Scaling to High Precision. SODA (2024)
Daniel Dadush, Akshay Ramachandran
Strongly Polynomial Frame Scaling to High Precision. CoRR (2024)
Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran
Spectral Analysis of Matrix Scaling and Operator Scaling. SIAM J. Comput. 50 (3) (2021)
Cole Franks, Rafael Mendes de Oliveira, Akshay Ramachandran, Michael Walter
Near optimal sample complexity for matrix and tensor normal models via geodesic convexity. CoRR (2021)
Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran
Spectral Analysis of Matrix Scaling and Operator Scaling. FOCS (2019)
Tsz Chiu Kwok, Lap Chi Lau, Akshay Ramachandran
Spectral analysis of matrix scaling and operator scaling. CoRR (2019)
Nishant Rao, Akshay Ramachandran, Amish Shah
MLNoC: A Machine Learning Based Approach to NoC Design. SBAC-PAD (2018)
Tsz Chiu Kwok, Lap Chi Lau, Yin Tat Lee, Akshay Ramachandran
The Paulsen problem, continuous operator scaling, and smoothed analysis. STOC (2018)
Akshay Ramachandran, Aaron Schild
Sandpile prediction on a tree in near linear time. SODA (2017)
Tsz Chiu Kwok, Lap Chi Lau, Yin Tat Lee, Akshay Ramachandran
The Paulsen Problem, Continuous Operator Scaling, and Smoothed Analysis. CoRR (2017)