Vinayak M. Kumar
I am a second-year Ph.D. student in UT Austin's Computer Science Theory group, advised by David Zuckerman. I am interested in complexity theory and Boolean function analysis, especially pseudorandomness and correlation bounds.
Before joining UT Austin in 2021,
I received my B.S. in Mathematics and Computer Science at Caltech. During my undergraduate studies,
I was fortunate to be mentored by Venkatesan Guruswami and Leonard Schulman.
Publications
- Tight Correlation Bounds for Circuits Between AC0 and TC0
Vinayak M. Kumar
CCC 2023 (to appear)
(ECCC) (arXiv)
- Pseudobinomiality of the Sticky Random Walk
Venkatesan Guruswami, Vinayak M. Kumar
ITCS 2021
(ECCC) (ITCS Proceedings) (My Talk at ITCS)
- Condition Number Bounds for Causal Inference
Spencer Gordon, Vinayak M. Kumar, Leonard Schulman, Piyush Srivastava
UAI 2021
(UAI Proceedings) (Piyush's Talk at Simons)
Teaching
I served as a TA for the following course at UT Austin:
and for the following courses at Caltech: