A Phase Transition-Based Perspective on Multiple Instance Kernels. - Romaric Gaudel; Michèle Sebag; Antoine Cornuéjols (ILP, 2007)

A Principled Method for Exploiting Opening Books. - Romaric Gaudel; Jean-Baptiste Hoock; Julien Perez; Nataliya Sokolovska; Olivier Teytaud (Computers and Games, 2010)

Feature Selection as a One-Player Game. - Romaric Gaudel; Michèle Sebag (ICML, 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 (2010)

Clustering Rankings in the Fourier Domain. - Stéphan Clémençon; Romaric Gaudel; Jérémie Jakubowicz (ECML/PKDD (1), 2011)

Online Matrix Completion Through Nuclear Norm Regularisation. - Charanpal Dhanjal; Romaric Gaudel; Stéphan Clémençon (SDM, 2014)

Bandits Warm-up Cold Recommender Systems. - Jérémie Mary; Romaric Gaudel; Philippe Preux (CoRR, 2014)

Efficient eigen-updating for spectral graph clustering. - Charanpal Dhanjal; Romaric Gaudel; Stéphan Clémençon (Neurocomputing, 2014)

Collaborative Filtering with Localised Ranking. - Charanpal Dhanjal; Romaric Gaudel; Stéphan Clémençon (AAAI, 2015)

Bandits and Recommender Systems. - Jérémie Mary; Romaric Gaudel; Philippe Preux (MOD, 2015)

AUC Optimisation and Collaborative Filtering. - Charanpal Dhanjal; Romaric Gaudel; Stéphan Clémençon (CoRR, 2015)

Sequential Collaborative Ranking Using (No-)Click Implicit Feedback. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (ICONIP (2), 2016)

Large-Scale Bandit Recommender System. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (MOD, 2016)

Scalable Explore-Exploit Collaborative filtering. - Frédéric Guillou; Romaric Gaudel; Philippe Preux (PACIS, 2016)

Hybrid Recommender System based on Autoencoders. - Florian Strub; Romaric Gaudel; Jérémie Mary (DLRS@RecSys, 2016)

Hybrid Collaborative Filtering with Neural Networks. - Florian Strub; Jérémie Mary; Romaric Gaudel (CoRR, 2016)

Kernalized Collaborative Contextual Bandits. - Leonardo Cella; Romaric Gaudel; Paolo Cremonesi (RecSys Posters, 2017)

Position-Based Multiple-Play Bandits with Thompson Sampling. - Camille-Sovanneary Gauthier; Romaric Gaudel; Élisa Fromont (CoRR, 2020)

Parametric Graph for Unimodal Ranking Bandit. - Camille-Sovanneary Gauthier; Romaric Gaudel; Élisa Fromont; Boammani Aser Lompo (ICML, 2021)

Bandit Algorithm for both Unknown Best Position and Best Item Display on Web Pages. - Camille-Sovanneary Gauthier; Romaric Gaudel; Élisa Fromont (IDA, 2021)

UniRank: Unimodal Bandit Algorithms for Online Ranking. - Camille-Sovanneary Gauthier; Romaric Gaudel; Élisa Fromont (ICML, 2022)

s-LIME: Reconciling Locality and Fidelity in Linear Explanations. - Romaric Gaudel; Luis Galárraga; Julien Delaunay; Laurence Rozé; Vaishnavi Bhargava (IDA, 2022)

Unimodal Mono-Partite Matching in a Bandit Setting. - Romaric Gaudel; Matthieu Rodet (CoRR, 2022)

UniRank: Unimodal Bandit Algorithm for Online Ranking. - Camille-Sovanneary Gauthier; Romaric Gaudel; Élisa Fromont (CoRR, 2022)

Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection. - Gwladys Kelodjou; Laurence Rozé; Véronique Masson; Luis Galárraga; Romaric Gaudel; Maurice Tchuenté; Alexandre Termier (AAAI, 2024)

Low-Cost Privacy-Aware Decentralized Learning. - Sayan Biswas; Davide Frey; Romaric Gaudel; Anne-Marie Kermarrec; Dimitri Lerévérend; Rafael Pires 001; Rishi Sharma 001; François Taïani (CoRR, 2024)

Low-Cost Privacy-Preserving Decentralized Learning. - Sayan Biswas; Davide Frey; Romaric Gaudel; Anne-Marie Kermarrec; Dimitri Lerévérend; Rafael Pires 001; Rishi Sharma 001; François Taïani (Proc. Priv. Enhancing Technol., 2025)