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Bobby Shi is a researcher at the University of Texas at Austin. [1] His research focuses on sparse random features[2][3], concentration inequalities, and theoretical data science. He studied at the University of Chicago for his bachelors in Mathematics and his Masters in Computer Science. [4] He is advised by Rachel Ward.
References
edit- ^ "Research". Bobby Shi. Retrieved 2024-06-20.
- ^ Xie, Yuege; Shi, Robert; Schaeffer, Hayden; Ward, Rachel (2022-09-14). "SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning". Proceedings of Mathematical and Scientific Machine Learning. PMLR: 303–318. arXiv:2112.04002.
- ^ Hashemi, Abolfazl; Schaeffer, Hayden; Shi, Robert; Topcu, Ufuk; Tran, Giang; Ward, Rachel (2023-01-01). "Generalization bounds for sparse random feature expansions". Applied and Computational Harmonic Analysis. 62: 310–330. doi:10.1016/j.acha.2022.08.003. ISSN 1063-5203.
- ^ Shi, Bobby (2024). "cV" (PDF).
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