12 citations · 15 across the 3 of their papers we have counts for
3 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.ST2023★ 3 cited
Dropout Regularization Versus -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…
stat.ML2020★ 12 cited
Spike and slab variational Bayes for high dimensional logistic regression
Kolyan Ray, Botond Szabo, Gabriel Clara
Variational Bayes (VB) is a popular scalable alternative to Markov chain Monte Carlo for Bayesian inference. We study a mean-field spike and slab VB approximation of widely used Ba…