Albert Thomas - RankMe

24 papers A* 5A 1B 1Journal 16Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. ICML Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting. CoRR Abdelhakim Benechehab, Vasilii Feofanov, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation. CoRR Abdelhakim Benechehab, Gabriel Singer, Corentin Léger, Youssef Attia El Hili, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2025	J	`jnl`	LLMs as In-Context Meta-Learners for Model and Hyperparameter Selection. CoRR Youssef Attia El Hili, Albert Thomas, Malik Tiomoko, Abdelhakim Benechehab, Corentin Léger, Corinne Ancourt, Balázs Kégl
2025	J	`jnl`	TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning. CoRR Giuseppe Paolo, Abdelhakim Benechehab, Hamza Cherkaoui, Albert Thomas, Balázs Kégl
2025	A*	`conf`	Zero-shot Model-based Reinforcement Learning using Large Language Models. ICLR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2024	J	`jnl`	A Multi-step Loss Function for Robust Learning of the Dynamics in Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Balázs Kégl
2024	J	`jnl`	Deep autoregressive density nets vs neural ensembles for model-based offline reinforcement learning. CoRR Abdelhakim Benechehab, Albert Thomas, Balázs Kégl
2024	J	`jnl`	Differentially Private Model-Based Offline Reinforcement Learning. CoRR Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas
2024	J	`jnl`	Large Language Models Orchestrating Structured Reasoning Achieve Kaggle Grandmaster Level. CoRR Antoine Grosnit, Alexandre Maraval, James Doran, Giuseppe Paolo, Albert Thomas, Refinath Shahul Hameed Nabeezath Beevi, Jonas Gonzalez, Khyati Khandelwal, Ignacio Iacobacci, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang
2024	J	`jnl`	Zero-shot Model-based Reinforcement Learning using Large Language Models. CoRR Abdelhakim Benechehab, Youssef Attia El Hili, Ambroise Odonnat, Oussama Zekri, Albert Thomas, Giuseppe Paolo, Maurizio Filippone, Ievgen Redko, Balázs Kégl
2023	J	`jnl`	Multi-timestep models for Model-based Reinforcement Learning. CoRR Abdelhakim Benechehab, Giuseppe Paolo, Albert Thomas, Maurizio Filippone, Balázs Kégl
2022	A*	`conf`	An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022	J	`jnl`	An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022	J	`jnl`	Guided Safe Shooting: model based reinforcement learning with safety constraints. CoRR Giuseppe Paolo, Jonas Gonzalez-Billandon, Albert Thomas, Balázs Kégl
2021	A*	`conf`	Best Arm Identification in Graphical Bilinear Bandits. ICML Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2021	A*	`conf`	Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? ICLR Balázs Kégl, Gabriel Hurtado, Albert Thomas
2021	J	`jnl`	Model-based micro-data reinforcement learning: what are the crucial model properties and which model to choose? CoRR Balázs Kégl, Gabriel Hurtado, Albert Thomas
2020	J	`jnl`	Best Arm Identification in Graphical Bilinear Bandits. CoRR Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2020	J	`jnl`	Refined bounds for randomized experimental design. CoRR Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief
2019	J	`jnl`	Parallel Contextual Bandits in Wireless Handover Optimization. CoRR Igor Colin, Albert Thomas, Moez Draief
2018	—	`conf`	Parallel Contextual Bandits in Wireless Handover Optimization. ICDM Workshops Igor Colin, Albert Thomas, Moez Draief
2017	A	`conf`	Anomaly Detection in Extreme Regions via Empirical MV-sets on the Sphere. AISTATS Albert Thomas, Stéphan Clémençon, Alexandre Gramfort, Anne Sabourin
2015	B	`conf`	Calibration of One-Class SVM for MV set estimation. DSAA Albert Thomas, Vincent Feuillard, Alexandre Gramfort