249 citations · 699 across the 39 of their papers we have counts for
4 papers · 1 filter
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization
Adel Nabli, Edouard Oyallon
This work introduces DADAO: the first decentralized, accelerated, asynchronous, primal, first-order algorithm to minimize a sum of -smooth and -strongly convex functions dist…
Why do tree-based models still outperform deep learning on tabular data?
Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux
While deep learning has enabled tremendous progress on text and image datasets, its superiority on tabular data is not clear. We contribute extensive benchmarks of standard and nov…
On Non-Linear operators for Geometric Deep Learning
Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna +1
This work studies operators mapping vector and scalar fields defined over a manifold , and which commute with its group of diffeomorphisms .…
Gradient Masked Averaging for Federated Learning
Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan +3
Federated learning (FL) is an emerging paradigm that permits a large number of clients with heterogeneous data to coordinate learning of a unified global model without the need to…