Calibration of One-Class SVM for MV set estimation. - Albert Thomas 001; Vincent Feuillard; Alexandre Gramfort (DSAA, 2015)

Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. - Albert Thomas 001; Stéphan Clémençon; Alexandre Gramfort; Anne Sabourin (AISTATS, 2017)

Parallel Contextual Bandits in Wireless Handover Optimization. - Igor Colin; Albert Thomas 001; Moez Draief (ICDM Workshops, 2018)

Refined bounds for randomized experimental design. - Geovani Rizk; Igor Colin; Albert Thomas 001; Moez Draief (CoRR, 2020)

Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? - Balázs Kégl; Gabriel Hurtado; Albert Thomas 001 (ICLR, 2021)

Best Arm Identification in Graphical Bilinear Bandits. - Geovani Rizk; Albert Thomas 001; Igor Colin; Rida Laraki; Yann Chevaleyre (ICML, 2021)

An $ alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (NeurIPS, 2022)

An α-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (CoRR, 2022)

Guided Safe Shooting: model based reinforcement learning with safety constraints. - Giuseppe Paolo; Jonas Gonzalez-Billandon; Albert Thomas 001; Balázs Kégl (CoRR, 2022)

Multi-timestep models for Model-based Reinforcement Learning. - Abdelhakim Benechehab; Giuseppe Paolo; Albert Thomas 001; Maurizio Filippone; Balázs Kégl (CoRR, 2023)

Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning. - Abdelhakim Benechehab; Albert Thomas 001; Balázs Kégl (CoRR, 2024)

A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. - Abdelhakim Benechehab; Albert Thomas 001; Giuseppe Paolo; Maurizio Filippone; Balázs Kégl (CoRR, 2024)

Differentially Private Model-Based Offline Reinforcement Learning. - Alexandre Rio; Merwan Barlier; Igor Colin; Albert Thomas 001 (CoRR, 2024)

Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. - Antoine Grosnit; Alexandre Maraval; James Doran; Giuseppe Paolo; Albert Thomas 001; Refinath Shahul Hameed Nabeezath Beevi; Jonas Gonzalez; Khyati Khandelwal; Ignacio Iacobacci; Abdelhakim Benechehab; Hamza Cherkaoui; Youssef Attia El Hili; et al. (CoRR, 2024)

Zero-shot Model-based Reinforcement Learning using Large Language Models. - Abdelhakim Benechehab; Youssef Attia El Hili; Ambroise Odonnat; Oussama Zekri; Albert Thomas 001; Giuseppe Paolo; Maurizio Filippone; Ievgen Redko; Balázs Kégl (ICLR, 2025)

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. - Abdelhakim Benechehab; Vasilii Feofanov; Giuseppe Paolo; Albert Thomas 001; Maurizio Filippone; Balázs Kégl (CoRR, 2025)

TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning. - Giuseppe Paolo; Abdelhakim Benechehab; Hamza Cherkaoui; Albert Thomas 001; Balázs Kégl (CoRR, 2025)