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math.ST2023
On the sample complexity of parameter estimation in logistic regression with normal design
Daniel Hsu, Arya Mazumdar
The logistic regression model is one of the most popular data generation model in noisy binary classification problems. In this work, we study the sample complexity of estimating t…
math.ST2022★ 4 cited
Statistical-Computational Trade-offs in Tensor PCA and Related Problems via Communication Complexity
Rishabh Dudeja, Daniel Hsu
Tensor PCA is a stylized statistical inference problem introduced by Montanari and Richard to study the computational difficulty of estimating an unknown parameter from higher-orde…