About Me

I am a first year CS Ph.D. student in the Theory group at the University of Southern California, where I am fortunate to be advised by Prof. Haipeng Luo and Prof. Vatsal Sharan. I am broadly interested in online learning and statistical learning theory.

Previously, I was a research assistant in the Signal Processing in Networking (SPiN) lab, Indian Institute of Technology Kanpur (IITK), where I was advised by Prof. Ketan Rajawat. I am quite privileged to have collaborated with Prof. Rahul Vaze (Tata Institute of Fundamental Research) during this period.

Before that, I graduated from IITK with a Bachelor’s degree in Computer Science. I am very fortunate to have been supervised by Prof. Ketan Rajawat during my undergraduate.

I am always open to discussions on theoretical CS and math. As an aside, I am quite passionate about music and have been playing fingerstyle guitar for a while.

Interests

  • Learning Theory
  • Online Learning
  • Optimization

Education

  • Bachelor of Technology in Computer Science and Engineering, 2018-2022

    Indian Institute of Technology Kanpur

Publications

(2024). Sharpened Lazy Incremental Quasi-Newton Method. The 27th International Conference on Artificial Intelligence and Statistics (AISTATS).

Arxiv

(2023). Online Convex Optimization with Switching Cost and Delayed Gradients. IFIP PERFORMANCE 2023. Full paper: Elsevier Performance Evaluation; extended abstract to appear in the ACM SIGMETRICS Performance Evaluation Review.

Arxiv