I am a Prime Minister’s Research Fellow (May 2019 batch) in the Department of Electrical Communication Engineering, Indian Institute of Science, where I am being advised by Prof. Himanshu Tyagi. Before starting my PhD in 2019, I completed my M.Tech (Research) in the Department of Electrical Engineering, Indian Institute of Science, under the supervision of Prof. Kunal N. Chaudhury.
Email: adityavs [at] iisc [dot] ac [dot] in
Research: My research interests lie in statistics, information theory, and optimization. Currently, I am working on problems in distributed statistical inference under information constraints. Examples of information constraints include communication constraints, privacy constraints, constraints on data-access (for instance, can access only certain linear measurements of high-dimensional data). The goal of my research is to design provably optimal algorithms (optimal in terms of, say, sample complexity) in non-asymptotic regime for statistical tasks in information-constrained settings, the ultimate goal being to abstract out a unifying principle at work behind such algorithms.
Preprints and Publications
Continual Mean Estimation Under User-Level Privacy [arxiv]
Anand J. George, Lekshmi Ramesh, Aditya Vikram Singh, Himanshu Tyagi
Optimal Rates for Nonparametric Density Estimation under Communication Constraints [arXiv]
Jayadev Acharya, Clément L. Canonne, Aditya Vikram Singh, Himanshu Tyagi
Accepted for poster presentation at NeurIPS 2021
Convergence Analysis of Nonconvex ADMM for Rigid Registration [arxiv]
Aditya Vikram Singh, Kunal N. Chaudhury
- TA for Information Theory (2020), NPTEL course on Information Theory (2020/2022)
- TA for NPTEL course on Concentration Inequalities (2021)
Theoretical and Algorithmic Aspects of Rigid Registration [pdf]
M.Tech (Research), Indian Institute of Science, 2019