Campbell, Neill

8 publications

AISTATS 2022 Aligned Multi-Task Gaussian Process Olga Mikheeva, Ieva Kazlauskaite, Adam Hartshorne, Hedvig Kjellström, Carl Henrik Ek, Neill Campbell

ICML 2021 Black-Box Density Function Estimation Using Recursive Partitioning Erik Bodin, Zhenwen Dai, Neill Campbell, Carl Henrik Ek

UAI 2020 Compositional Uncertainty in Deep Gaussian Processes Ivan Ustyuzhaninov, Ieva Kazlauskaite, Markus Kaiser, Erik Bodin, Neill Campbell, Carl Henrik Ek

ICML 2020 Modulating Surrogates for Bayesian Optimization Erik Bodin, Markus Kaiser, Ieva Kazlauskaite, Zhenwen Dai, Neill Campbell, Carl Henrik Ek

AISTATS 2020 Monotonic Gaussian Process Flows Ivan Ustyuzhaninov, Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell

ICML 2019 DP-GP-LVM: A Bayesian Non-Parametric Model for Learning Multivariate Dependency Structures Andrew Lawrence, Carl Henrik Ek, Neill Campbell

NeurIPS 2019 Fixing Implicit Derivatives: Trust-Region Based Learning of Continuous Energy Functions Chris Russell, Matteo Toso, Neill Campbell

AISTATS 2019 Gaussian Process Latent Variable Alignment Learning Ieva Kazlauskaite, Carl Henrik Ek, Neill Campbell