4 papers
Generalization Bounds for Rank-sparse Neural Networks
Antoine Ledent, Rodrigo Alves, Yunwen Lei
It has been recently observed in much of the literature that neural networks exhibit a bottleneck rank property: for larger depths, the activation and weights of neural networks tr…
Conv4Rec: A 1-by-1 Convolutional AutoEncoder for User Profiling through Joint Analysis of Implicit and Explicit Feedbacks
Antoine Ledent, Petr Kasalický, Rodrigo Alves +1
We introduce a new convolutional AutoEncoder architecture for user modelling and recommendation tasks with several improvements over the state of the art. Firstly, our model has th…
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Antoine Ledent, Peng Liu
Balancing predictive power and interpretability has long been a challenging research area, particularly in powerful yet complex models like neural networks, where nonlinearity obst…
Generalization Bounds for Inductive Matrix Completion in Low-noise Settings
Antoine Ledent, Rodrigo Alves, Yunwen Lei +2
We study inductive matrix completion (matrix completion with side information) under an i.i.d. subgaussian noise assumption at a low noise regime, with uniform sampling of the entr…