Gabriel Clara

collaborators

2 papers

stat.ML2025

The Interplay of Statistics and Noisy Optimization: Learning Linear Predictors with Random Data Weights

Gabriel Clara, Yazan Mash'al

We analyze gradient descent with randomly weighted data points in a linear regression model, under a generic weighting distribution. This includes various forms of stochastic gradi…

math.ST2024

Dropout Regularization Versus $ℓ_{2}$ -Penalization in the Linear Model

Gabriel Clara, Sophie Langer, Johannes Schmidt-Hieber

We investigate the statistical behavior of gradient descent iterates with dropout in the linear regression model. In particular, non-asymptotic bounds for the convergence of expect…

The Interplay of Statistics and Noisy Optimization: Learning Linear Predictors with Random Data Weights

Dropout Regularization Versus ℓ2​-Penalization in the Linear Model

Dropout Regularization Versus $ℓ_{2}$ -Penalization in the Linear Model