Toward an uncertainty principle for weighted graphs B Pasdeloup, R Alami, V Gripon, M Rabbat 2015 23rd European Signal Processing Conference (EUSIPCO), 1496-1500, 2015 | 27 | 2015 |

Memory Bandits: A Bayesian approach for the Switching Bandit problem R Alami, O Maillard, R Feraud Advances in Neural Information Processing Systems (NIPS): Bayesian …, 2017 | 5 | 2017 |

Node-based optimization of LoRa transmissions with Multi-Armed Bandit algorithms R Kerkouche, R Alami, R Féraud, N Varsier, P Maillé 2018 25th International Conference on Telecommunications (ICT), 521-526, 2018 | 4 | 2018 |

Uncertainty Principle on Graphs B Pasdeloup, V Gripon, R Alami, MG Rabbat Vertex-Frequency Analysis of Graph Signals, 317-340, 2019 | 3 | 2019 |

Graph Signal Processing: Towards The Diffused Spectral Clustering R Alami | 1 | 2019 |

Decentralized Exploration in Multi-Armed Bandits R Féraud, R Alami, R Laroche arXiv preprint arXiv:1811.07763, 2018 | 1 | 2018 |

Reinforcement Learning Techniques for Optimized Channel Hopping in IEEE 802.15. 4-TSCH Networks H Dakdouk, E Tarazona, R Alami, R Féraud, GZ Papadopoulos, P Maillé Proceedings of the 21st ACM International Conference on Modeling, Analysis …, 2018 | 1 | 2018 |

Memory Bandits: Towards the Switching Bandit Problem Best Resolution R Alami, OA Maillard, R Féraud | 1 | 2018 |

Supervised Feature Space Reduction for Multi-Label Nearest Neighbors W Siblini, R Alami, F Meyer, P Kuntz IEA/AIE 2017: 30th International Conference on Industrial Engineering and …, 2017 | 1 | 2017 |

Non-Stationary Thompson Sampling For Stochastic Bandits with Graph-Structured Feedback R Alami | | 2019 |

Thompson Sampling for the non-Stationary Corrupt Multi-Armed Bandit R Alami | | 2018 |

Supervised Dimensionality Reduction for Multi-Label Nearest Neighbors R ALAMI, F MEYER, W SIBLINI, V GRIPON | | 2016 |