Graduate Student at Stanford University

I am a fifth-year Ph.D. student at the Stanford University Institute for Computational and Mathematical Engineering (ICME). I am very fortunate to be advised by Chris Ré. I earned my bachelor's degrees in mathematics and computer science from Cornell University.

I am interested in the theoretical and practical development of optimization methods for machine learning.

**No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems**. **N. Sohoni**, J. Dunnmon, G. Angus, A. Gu, C. Ré. To appear in *Conference on Neural Information Processing Systems (NeurIPS)*, 2020.

**Near-Optimal Methods for Minimizing Star-Convex Functions and Beyond**. O. Hinder, A. Sidford, **N. Sohoni**. In *Conference on Learning Theory (COLT)*, 2020.

**Ivy: Instrumental Variable Synthesis for Causal Inference**. Z. Kuang, F. Sala, **N. Sohoni**, S. Wu, A. Cordova-Palomera, J. Dunnmon, J. Priest, C. Ré. In *International Conference on Artificial Intelligence and Statistics (AISTATS)*, 2020.

**Kaleidoscope: An Efficient, Learnable Representation For All Structured Linear Maps.**
T. Dao, **N. Sohoni**, A. Gu, M. Eichhorn, A. Blonder, M. Leszczynski, A. Rudra, C. Ré. In *International Conference on Learning Representations (ICLR)*, 2020. (Spotlight)

**Low-Memory Neural Network Training: A Technical Report**. **N. Sohoni**, C. Aberger, M. Leszczynski, J. Zhang, C. Ré. *arXiv*, 2019. (Preprint)

**DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction**. B. Ballinger, J. Hsieh, A. Singh, **N. Sohoni**, J. Wang, G. Tison, G. Marcus, J. Sanchez, C. Maguire, J. Olgin, M. Pletcher. In *AAAI Conference on Artificial Intelligence*, 2018.

Email: nims (at) <standard Stanford email domain>

Last updated: November 25, 2020