1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.IT2024
Some Notes on the Sample Complexity of Approximate Channel Simulation
Gergely Flamich, Lennie Wells
Channel simulation algorithms can efficiently encode random samples from a prescribed target distribution and find applications in machine learning-based lossy data compression…
cs.LG2023
Unconstrained Stochastic CCA: Unifying Multiview and Self-Supervised Learning
James Chapman, Lennie Wells, Ana Lawry Aguila
The Canonical Correlation Analysis (CCA) family of methods is foundational in multiview learning. Regularised linear CCA methods can be seen to generalise Partial Least Squares (PL…
cs.LG2022★ 1 cited
A Generalized EigenGame with Extensions to Multiview Representation Learning
James Chapman, Ana Lawry Aguila, Lennie Wells
Generalized Eigenvalue Problems (GEPs) encompass a range of interesting dimensionality reduction methods. Development of efficient stochastic approaches to these problems would all…