Rohith Kuditipudi

I am a first year PhD student at Stanford University interested in machine learning theory, advised by John Duchi and Percy Liang.

I care broadly about aligning machine learning systems with human values, whether via provable guarantees or principled mechanisms for oversight at scale. Recently, I've been thinking about privacy in particular.

Previously, I graduated from Duke University with a BS in Computer Science and minor in Mathematics as an Angier B. Duke Scholar.

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*equal contribution and/or alphabetical ordering

Explaining Landscape Connectivity of Low-cost Solutions for Multilayer Nets
Rohith Kuditipudi, Xiang Wang, Holden Lee, Yi Zhang, Zhiyuan Li, Wei Hu, Sanjeev Arora, Rong Ge,
NeurIPS, 2019
arXiv / talk / blog / code
Minimizing the Number of Detrimental Objects in Multi-Dimensional Graph-Based Codes
Ahmed Hareedy, Rohith Kuditipudi, Robert Calderbank
arXiv / ITW 19
Learning Two-layer Neural Networks with Symmetric Inputs
Rong Ge*, Rohith Kuditipudi*, Zhize Li*, Xiang Wang*
ICLR, 2019

Credit to Jon for the template.