ML Anthology

Robeyns, Maxime

8 publications

ICLRW 2025 A Self-Improving Coding Agent Maxime Robeyns, Martin Szummer, Laurence Aitchison
ICLR 2024 Bayesian Low-Rank Adaptation for Large Language Models Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison
ICLRW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, Laurence Aitchison
ICMLW 2024 Bayesian Reward Models for LLM Alignment Adam X. Yang, Maxime Robeyns, Thomas Coste, Zhengyan Shi, Jun Wang, Haitham Bou Ammar, Laurence Aitchison
ICML 2023 A Theory of Representation Learning Gives a Deep Generalisation of Kernel Methods Adam X. Yang, Maxime Robeyns, Edward Milsom, Ben Anson, Nandi Schoots, Laurence Aitchison
NeurIPSW 2023 Bayesian Low-Rank Adaptation for Large Language Models Adam Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison
NeurIPS 2023 Taylor TD-Learning Michele Garibbo, Maxime Robeyns, Laurence Aitchison
ICMLW 2023 Taylor TD-Learning Michele Garibbo, Maxime Robeyns, Laurence Aitchison