Deepak Narayanan Sridharan
dsridharan [at] inf [dot] ethz [dot] ch
About
I am a first year PhD student at ETH Zurich, fortunate to be advised by Professor David Steurer. I am interested in problems arising at the intersection of high-dimensional statistics, optimization and theoretical computer science.
Publications
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Outlier-robust Mean Estimation near the Breakdown Point via Sum-of-Squares
with Hongjie Chen and David Steurer
SODA 2025, arxiv
Awarded ETH Medal for Outstanding Master's Thesis -
IGLU: Efficient GCN Training via Lazy Updates
with Aditya Sinha, Prateek Jain, Purushottam Kar and Sundararajan Sellamanickam
ICLR 2022, arxiv
Teaching
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ETH Zurich: Algorithms and Probability (Spring 2025), Algorithms and Data Structures (Fall 2024), Algorithmic Foundations of Data Science (Spring 2023, 2024), Deep Learning (Fall 2023), Computational Intelligence Lab (Spring 2023)