Thomas Peel

Algorithmes de Poursuite Stochastiques et Inégalités de Concentration Empiriques pour l'Apprentissage Statistique. (Stochastic Pursuit Algorithms and Empirical Concentration Inequalities for Machine Learning)

Thomas Peel, Thomas Peel, 2013 .

Matching pursuit with stochastic selection

Valentin Emiya, Liva Ralaivola, Thomas Peel, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

Empirical Bernstein Inequalities for U-Statistics

Liva Ralaivola, Thomas Peel, Sandrine Anthoine, 2010, NIPS.

Stochastic Low-Rank Kernel Learning for Regression pdf

Hervé Glotin, Liva Ralaivola, Pierre Machart, 2011, ICML.

Distributed frank-wolfe under pipelined stale synchronous parallelism

Nam-Luc Tran, Thomas Peel, Sabri Skhiri, 2015, 2015 IEEE International Conference on Big Data (Big Data).

STRASS: A Light and Effective Method for Extractive Summarization Based on Sentence Embeddings pdf

Antoine Bonnefoy, Thomas Peel, Léo Bouscarrat, 2019, ACL.

Highway Safety Manual Part D: Validation and Application in Wyoming

Sadia Sharmin, Sherif Gaweesh, Thomas Peel, 2019 .

DAEMA: Denoising Autoencoder with Mask Attention

Thomas Peel, Damien Fourure, Muhammad Usama Javaid, 2021, ICANN.

A Framework using Contrastive Learning for Classification with Noisy Labels

Thomas Peel, Romain Dupuis, Madalina Ciortan, 2021, Data.