Whiteley, Nick

7 publications

NeurIPS 2025 Conditional Distribution Compression via the Kernel Conditional Mean Embedding Dominic Broadbent, Nick Whiteley, Robert F Allison, Tom Lovett

NeurIPS 2023 Hierarchical Clustering with Dot Products Recovers Hidden Tree Structure Annie Gray, Alexander Modell, Patrick Rubin-Delanchy, Nick Whiteley

AISTATS 2023 Implications of Sparsity and High Triangle Density for Graph Representation Learning Hannah Sansford, Alexander Modell, Nick Whiteley, Patrick Rubin-Delanchy

NeurIPS 2023 Intensity Profile Projection: A Framework for Continuous-Time Representation Learning for Dynamic Networks Alexander Modell, Ian Gallagher, Emma Ceccherini, Nick Whiteley, Patrick Rubin-Delanchy

JMLR 2022 Exploiting Locality in High-Dimensional Factorial Hidden Markov Models Lorenzo Rimella, Nick Whiteley

AISTATS 2021 Inference in Stochastic Epidemic Models via Multinomial Approximations Nick Whiteley, Lorenzo Rimella

NeurIPS 2021 Matrix Factorisation and the Interpretation of Geodesic Distance Nick Whiteley, Annie Gray, Patrick Rubin-Delanchy