Contextual Causal Bayesian Optimisation
A unified framework for contextual and causal Bayesian optimisation with worst-case and instance-dependent high-probability regret bounds.
Assessing the Quality of Denoising Diffusion Models in Wasserstein Distance: Noisy Score and Optimal Bounds
Finite-sample Wasserstein-2 guarantees for denoising diffusion models that are robust to noisy score estimates and achieve optimal rates.
Oxford Machine Learning Summer School
Attended the Oxford Machine Learning Summer School 2022.