Publications

Samuel Holt, Chris Lu, Claudio Fanconi, Alex J. Chan, Jakob Foerster, Mihaela Van Der Schaar, Robert Tjarko Lange (2024). Discovering Preference Optimization Algorithms with and for Large Language Models. Arxiv.

PDF Cite Code Project

Samuel Holt, Max Ruiz Luyten, Mihaela Van Der Schaar (2024). L2MAC: Large Language Model Automatic Computer for Extensive Code Generation. (ICLR 2024).

PDF Cite Code

Samuel Holt, Jeroen Berrevoets, Krzysztof Kacprzyk, Zhaozhi Qian, Mihaela Van Der Schaar (2024). ODE Discovery for Longitudinal Heterogeneous Treatment Effects Inference. (ICLR 2024) [Spotlight, top 5% of papers].

PDF Cite

Samuel Holt, Alihan Hüyük, Mihaela Van Der Schaar (2023). Active Observing in Continuous-time Control. (NeurIPS 2023).

PDF Cite Code

Samuel Holt, Alihan Hüyük, Zhaozhi Qian, Hao Sun, Mihaela Van Der Schaar (2023). Neural Laplace Control for Continuous-time Delayed Systems. (AISTATS 2023).

PDF Cite Code Video

Samuel Holt, Zhaozhi Qian, Mihaela Van Der Schaar (2023). Deep Generative Symbolic Regression. (ICLR 2023).

PDF Cite Code Video

Samuel Holt, Zhaozhi Qian, Mihaela Van Der Schaar (2022). Neural Laplace: Learning diverse classes of differential equations in the Laplace domain. (ICML 2022) [Long Oral, top 2% of papers].

PDF Cite Code Video