bayesian optimisation

Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning AAAI 2026 Return of the Latent Space COWBOYS: Re-thinking the use of VAEs for Bayesian Optimisation of Structured Spaces ICML 2025 Soft Reasoning: Navigating Solution Spaces in Large Language Models through Controlled Embedding Exploration ICML 2025 X-Hacking: The Threat of Misguided AutoML ICML 2025 Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms AAAI 2024 Efficiently Acquiring Human Feedback with Bayesian Deep Learning EACL 2024 Sample-efficient Bayesian Optimisation Using Known Invariances NeurIPS 2024 Stochastic Gradient Descent for Gaussian Processes Done Right ICLR 2024 Delayed Feedback in Kernel Bandits ICML 2023 GAUCHE: A Library for Gaussian Processes in Chemistry NeurIPS 2023 Adaptive Model Predictive Control by Learning Classifiers L4DC 2022 Adjoint-aided inference of Gaussian process driven differential equations NeurIPS 2022 Approximate Neural Architecture Search via Operation Distribution Learning WACV 2022 Batch Bayesian optimisation via density-ratio estimation with guarantees NeurIPS 2022 Bayesian quantile and expectile optimisation UAI 2022 Human-AI Collaborative Bayesian Optimisation NeurIPS 2022 Are We Forgetting about Compositional Optimisers in Bayesian Optimisation? JMLR 2021 GIBBON: General-purpose Information-Based Bayesian Optimisation JMLR 2021 Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels ICLR 2021 Kernel Functional Optimisation NeurIPS 2021 No-regret approximate inference via Bayesian optimisation UAI 2021 Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach L4DC 2021 Think Global and Act Local: Bayesian Optimisation over High-Dimensional Categorical and Mixed Search Spaces ICML 2021 Active Learning of Conditional Mean Embeddings via Bayesian Optimisation UAI 2020 Bayesian Optimisation for Premise Selection in Automated Theorem Proving (Student Abstract) AAAI 2020