Sotabase

Career

· Research Intern, Google2024–2024
· PhD in Computer Science, Stanford University2021–
· PhD Student, Stanford University2021–
· Research Intern, Jane Street Capital2020–2020
· Research Assistant, University of Toronto2020–2021
· Research Student, University of Toronto2019–2020
· H.B.Sc. in Computer Science Specialist, University of Toronto2016–2020
· Intern, Department of National Defence

Publications (0)

Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks
Neural Information Processing Systems · 2019
121
cited
Is Importance Weighting Incompatible with Interpolating Classifiers?
International Conference on Learning Representations · 2021
22
cited
A Fast Algorithm for Adaptive Private Mean Estimation
arXiv.org · 2023
16
cited
Near Exact Privacy Amplification for Matrix Mechanisms
International Conference on Learning Representations · 2024
15
cited
A Pretty Fast Algorithm for Adaptive Private Mean Estimation
Annual Conference Computational Learning Theory · 2023
12
cited
An information-theoretic lower bound in time-uniform estimation
Annual Conference Computational Learning Theory · 2024
7
cited
Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification
Trans. Mach. Learn. Res. · 2022
6
cited
A comparison of two classifications of solvable Lie algebras
Journal of Mathematics and Physics · 2018
3
cited
Universally Instance-Optimal Mechanisms for Private Statistical Estimation
Annual Conference Computational Learning Theory · 2024
2
cited
A fast and slightly robust covariance estimator
arXiv.org · 2025
1
cited
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