19 citations · 121 across the 22 of their papers we have counts for
29 papers
Multinomial Logistic Regression: Asymptotic Normality on Null Covariates in High-Dimensions
Kai Tan, Pierre C. Bellec
This paper investigates the asymptotic distribution of the maximum-likelihood estimate (MLE) in multinomial logistic models in the high-dimensional regime where dimension and sampl…
Generative Adversarial Neuroevolution for Control Behaviour Imitation
Maximilien Le Clei, Pierre Bellec
There is a recent surge in interest for imitation learning, with large human video-game and robotic manipulation datasets being used to train agents on very complex tasks. While de…
Neuroevolution of Recurrent Architectures on Control Tasks
Maximilien Le Clei, Pierre Bellec
Modern artificial intelligence works typically train the parameters of fixed-sized deep neural networks using gradient-based optimization techniques. Simple evolutionary algorithms…
Noise Covariance Estimation in Multi-Task High-dimensional Linear Models
Kai Tan, Gabriel Romon, Pierre C Bellec
This paper studies the multi-task high-dimensional linear regression models where the noise among different tasks is correlated, in the moderately high dimensional regime where sam…
Observable adjustments in single-index models for regularized M-estimators
Pierre C Bellec
We consider observations from single index models with unknown link function, Gaussian covariates and a regularized M-estimator constructed from convex loss functio…
Chi-square and normal inference in high-dimensional multi-task regression
Pierre C Bellec, Gabriel Romon
The paper proposes chi-square and normal inference methodologies for the unknown coefficient matrix of size in a Multi-Task (MT) linear model with covariates,…