Romaric Gaudel

According to our database, Romaric Gaudel authored at least 26 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Low-Cost Privacy-Aware Decentralized Learning.

Sayan Biswas, Davide Frey, Romaric Gaudel, Anne-Marie Kermarrec, Dimitri Lerévérend, Rafael Pires, Rishi Sharma, François Taïani

CoRR, 2024

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection.

Gwladys Kelodjou, Laurence Rozé, Véronique Masson, Luis Galárraga, Romaric Gaudel, Maurice Tchuenté, Alexandre Termier

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2022

UniRank: Unimodal Bandit Algorithm for Online Ranking.

Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont

CoRR, 2022

Unimodal Mono-Partite Matching in a Bandit Setting.

Romaric Gaudel, Matthieu Rodet

CoRR, 2022

s-LIME: Reconciling Locality and Fidelity in Linear Explanations.

Romaric Gaudel, Luis Galárraga, Julien Delaunay, Laurence Rozé, Vaishnavi Bhargava

Proceedings of the Advances in Intelligent Data Analysis XX, 2022

UniRank: Unimodal Bandit Algorithms for Online Ranking.

Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont

Proceedings of the International Conference on Machine Learning, 2022

2021

Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages.

Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont

Proceedings of the Advances in Intelligent Data Analysis XIX, 2021

Parametric Graph for Unimodal Ranking Bandit.

Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont, Boammani Aser Lompo

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Position-Based Multiple-Play Bandits with Thompson Sampling.

Camille-Sovanneary Gauthier, Romaric Gaudel, Élisa Fromont

CoRR, 2020

2017

Kernalized Collaborative Contextual Bandits.

Leonardo Cella, Romaric Gaudel, Paolo Cremonesi

Proceedings of the Poster Track of the 11th ACM Conference on Recommender Systems (RecSys 2017), 2017

2016

Hybrid Collaborative Filtering with Neural Networks.

Florian Strub, Jérémie Mary, Romaric Gaudel

CoRR, 2016

Hybrid Recommender System based on Autoencoders.

Florian Strub, Romaric Gaudel, Jérémie Mary

Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 2016

Scalable Explore-Exploit Collaborative filtering.

Frédéric Guillou, Romaric Gaudel, Philippe Preux

Proceedings of the 20th Pacific Asia Conference on Information Systems, 2016

Large-Scale Bandit Recommender System.

Frédéric Guillou, Romaric Gaudel, Philippe Preux

Proceedings of the Machine Learning, Optimization, and Big Data, 2016

Sequential Collaborative Ranking Using (No-)Click Implicit Feedback.

Frédéric Guillou, Romaric Gaudel, Philippe Preux

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

2015

AUC Optimisation and Collaborative Filtering.

Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon

CoRR, 2015

Bandits and Recommender Systems.

Jérémie Mary, Romaric Gaudel, Philippe Preux

Proceedings of the Machine Learning, Optimization, and Big Data, 2015

Collaborative Filtering with Localised Ranking.

Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Efficient eigen-updating for spectral graph clustering.

Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon

Neurocomputing, 2014

Bandits Warm-up Cold Recommender Systems.

Jérémie Mary, Romaric Gaudel, Philippe Preux

CoRR, 2014

Online Matrix Completion Through Nuclear Norm Regularisation.

Charanpal Dhanjal, Romaric Gaudel, Stéphan Clémençon

Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

2011

Clustering Rankings in the Fourier Domain.

Stéphan Clémençon, Romaric Gaudel, Jérémie Jakubowicz

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

2010

Paramètres d'ordre et sélection de modèles en apprentissage : caractérisation des modèles et sélection d'attributs. (Order parameters and model selection in Machine Learning: model charaterization and Feature Selection).

Romaric Gaudel

PhD thesis, 2010

Feature Selection as a One-Player Game.

Romaric Gaudel, Michèle Sebag

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

A Principled Method for Exploiting Opening Books.

Romaric Gaudel, Jean-Baptiste Hoock, Julien Perez, Nataliya Sokolovska, Olivier Teytaud

Proceedings of the Computers and Games - 7th International Conference, 2010

2007

A Phase Transition-Based Perspective on Multiple Instance Kernels.

Romaric Gaudel, Michèle Sebag, Antoine Cornuéjols

Proceedings of the Inductive Logic Programming, 17th International Conference, 2007