Maxime Robeyns

3 papers · 2023–2024 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ICLR (1) ICML (1) NeurIPS (1)

Top co-authors

Laurence Aitchison (3) Adam X. Yang (2) Michele Garibbo (1) Ben Anson (1) Xi Wang (1) Edward Milsom (1) Nandi Schoots (1)

Research topics

Machine Learning (3) Optimization & Theory (3) Artificial Intelligence (1) Mathematics & Optimization (1) Reinforcement Learning (1) Bayesian & Probabilistic · Machine Learning (1) Bayesian & Probabilistic · Artificial Intelligence (1) Core AI (1) Core Methods (1) Methods (1) Optimization (1)

Keywords

representation learning (1) temporal difference learning (1) variational inference (1) bayesian inference (1) laplace approximation (1) model-based reinforcement learning (1) variance reduction (1) parameter-efficient fine-tuning (1) low-rank adaptation (1) uncertainty estimation (1) deep kernel machine (1) bayesian method (1) deep gaussian process (1) kernel methods (1) taylor series expansion (1) continuous state-action (1)

Papers

Bayesian Low-rank Adaptation for Large Language Models ICLR 2024 A theory of representation learning gives a deep generalisation of kernel methods ICML 2023 Taylor TD-learning NeurIPS 2023