Holmes, Chris C.

12 publications

NeurIPS 2023 A Unified Framework for U-Net Design and Analysis Christopher K. I. Williams, Fabian Falck, George Deligiannidis, Chris C Holmes, Arnaud Doucet, Saifuddin Syed

NeurIPS 2023 Differentially Private Statistical Inference Through $\beta$-Divergence One Posterior Sampling Jack E Jewson, Sahra Ghalebikesabi, Chris C Holmes

UAI 2023 Quasi-Bayesian Nonparametric Density Estimation via Autoregressive Predictive Updates Sahra Ghalebikesabi, Chris C. Holmes, Edwin Fong, Brieuc Lehmann

NeurIPS 2022 A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs Fabian Falck, Christopher K. I. Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C Holmes, Arnaud Doucet, Matthew Willetts

NeurIPS 2021 Conformal Bayesian Computation Edwin Fong, Chris C Holmes

NeurIPS 2021 Multi-Facet Clustering Variational Autoencoders Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C Holmes

NeurIPS 2021 Neural Ensemble Search for Uncertainty Estimation and Dataset Shift Sheheryar Zaidi, Arber Zela, Thomas Elsken, Chris C Holmes, Frank Hutter, Yee W. Teh

NeurIPS 2021 On Locality of Local Explanation Models Sahra Ghalebikesabi, Lucile Ter-Minassian, Karla DiazOrdaz, Chris C Holmes

NeurIPS 2020 Explicit Regularisation in Gaussian Noise Injections Alexander Camuto, Matthew Willetts, Umut Simsekli, Stephen J. Roberts, Chris C Holmes

NeurIPS 2018 Nonparametric Learning from Bayesian Models with Randomized Objective Functions Simon Lyddon, Stephen Walker, Chris C Holmes

ICML 2017 Bayesian Boolean Matrix Factorisation Tammo Rukat, Chris C. Holmes, Michalis K. Titsias, Christopher Yau

AISTATS 2017 Encrypted Accelerated Least Squares Regression Pedro M. Esperança, Louis J. M. Aslett, Chris C. Holmes