Apoorv Vikram Singh
Ph.D. Candidate
Computer Science

I am a third year Ph.D. candidate at the department of Computer Science at the NYU Tandon School of Engineering. I am a part of the Algorithms and Foundations Group, where I am being advised by Dr Chris Musco.

Before joining NYU, I was a visiting researcher at the MODAL team in INRIA Lille where I worked with Dr Hemant Tyagi and Dr Mihai Cucuringu (Univ of Oxford). Before that I was a Project Associate in the Dept. of Computer Science and Automation, Indian Institute of Science, where I worked with Dr Anand Louis and Dr Amit Deshpande (Microsoft Research, India). I obtained my undergraduate degree from IIIT Bangalore.

Research Interests: My research interests lie at the intersection of theoretical computer science and statistical machine learning. Currently, I am working on problems in the area of spectrum estimation of matrices in sub-linear time. I am also reading about Sum of Squares Hierarchy, and Discrepancy Theory (see Reading Group).

Publications

• Moments, Random Walks, and Limits for Spectrum Approximation
  Yujia Jin, Christopher Musco, Aaron Sidford, Apoorv Vikram Singh
  COLT 2023 [ArXiv]
• Regularized Spectral Methods for Clustering Signed Networks
  Mihai Cucuringu, Apoorv Vikram Singh, Déborah Sulem, Hemant Tyagi
  JMLR 2021 [ArXiv]
• Approximation Algorithms for Cost-Balanced Clustering
  Amit Deshpande, Anand Louis, Deval Patel, Apoorv Vikram Singh
  Preprint 2019 [Link]
• On Euclidean $k$-Means Clustering with $\alpha$-Center Proximity
  Amit Deshpande, Anand Louis, Apoorv Vikram Singh
  AISTATS 2019 [ArXiv]

News

• Attended STOC 2023 (Orlando, Florida, USA) and COLT 2023 (Bangalore, Karnataka, India).
• June 11, 2023: Attended the Workshop on Modern Techniques in Graph Algorithms organized by DIMACS, Rutgers.
• June 26, 2022: Attended the Swedish Summer School on Theoretical Computer Science organized by KTH.
• Attended the summer school on New tools for optimal mixing of Markov chains: Spectral independence and entropy decay at UCSB.