Ph.D. Student Email: [firstname] [at] ttic [dot] edu |
I am a second-year Ph.D. student at the Toyota Technological Institute at Chicago (TTIC), advised by Nathan Srebro.
My research interests are in computational learning theory and related topics: computational complexity, applied probability and statistics, optimization, and related aspects of statistical physics.
Exact Community Recovery (under Side Information): Optimality of Spectral ALgorithms
Noisy Interpolation Learning with Shallow Univariate ReLU Networks
ICLR 2024 (Spotlight)
Nirmit Joshi, Gal Vardi, Nathan Srebro
Community Detection in Hypergraph SBM: Exact Recovery Given the Similarity Matrix
COLT 2023
Julia Gaudio, Nirmit Joshi
Generalizing Greenwald-Khanna Streaming Quantile Summaries for Weighted Inputs
ICDT 2023
Sepehr Assadi, Nirmit Joshi, Milind Prabhu, Vihan Shah