Arya Mazumdar

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stat.ML2026

Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design

Junren Chen, Arya Mazumdar

We consider the parameter estimation problem in logistic regression with Gaussian design: the estimation of a fixed unknown parameter $θ^{*} \in R^{d}$ ( $∥ θ^{*} ∥_{2} \geq 1$ ) from…

stat.ML2025

Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements

Arya Mazumdar, Neha Sangwan

We consider the problem of exact recovery of a $k$ -sparse binary vector from generalized linear measurements (such as logistic regression). We analyze the linear estimation algorit…